Algorithm Model
算法模型
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Algorithm Model sentence examples within convolutional neural network
The advantages and disadvantages of each of the four convolutional neural networks VGG16, ResNet50, DenseNet201, and DWA algorithm models are analyzed and given by comparing and investigating each model.
通过对比研究各个模型，分析并给出了四种卷积神经网络VGG16、ResNet50、DenseNet201、DWA算法模型各自的优缺点。
通过对比研究各个模型，分析并给出了四种卷积神经网络VGG16、ResNet50、DenseNet201、DWA算法模型各自的优缺点。
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Firstly, we use artificial neural network (ANN) and convolutional neural network (CNN) as ML algorithm models with the database established by the two-dimensional finite element method.
首先，我们使用人工神经网络（ANN）和卷积神经网络（CNN）作为机器学习算法模型，数据库采用二维有限元法建立。
首先，我们使用人工神经网络（ANN）和卷积神经网络（CNN）作为机器学习算法模型，数据库采用二维有限元法建立。
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Algorithm Model sentence examples within particle swarm optimization
Based on the analysis of quantum particle swarm optimization (QPSO) and support vector machine (SVM), the kernel parameter g and penalty coefficient C in support vector machine (SVM) are optimized by using QPSO to improve the diagnostic accuracy of the algorithm model, and a fault classification method based on QPSO-SVM is proposed.
在分析量子粒子群优化（QPSO）和支持向量机（SVM）的基础上，利用QPSO对支持向量机（SVM）中的核参数g和惩罚系数C进行优化，提高算法模型的诊断准确率，并提出了一种基于QPSO-SVM的故障分类方法。
在分析量子粒子群优化（QPSO）和支持向量机（SVM）的基础上，利用QPSO对支持向量机（SVM）中的核参数g和惩罚系数C进行优化，提高算法模型的诊断准确率，并提出了一种基于QPSO-SVM的故障分类方法。
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Simulations for hypothetical four reservoir system have proven that JA is a better solution for a number of Function Evaluations when compared with the results obtained by means of other evolutionary methods such as Genetic Algorithms, Particle Swarm Optimization, Elitist Mutated Particle Swarm Optimization, and Weed Optimization Algorithm models reported in previous studies.
对假设的四个储层系统的模拟已经证明，与通过遗传算法、粒子群优化、精英突变粒子群优化和杂草优化等其他进化方法获得的结果相比，JA 是许多功能评估的更好解决方案先前研究中报告的算法模型。
对假设的四个储层系统的模拟已经证明，与通过遗传算法、粒子群优化、精英突变粒子群优化和杂草优化等其他进化方法获得的结果相比，JA 是许多功能评估的更好解决方案先前研究中报告的算法模型。
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Algorithm Model sentence examples within support vector machine
Once the algorithm model was put to a test as a function of the Mat lab (Support Vector Machines (SVM)), the identification of patterns with people was achieved in four ways, when a person is upright.
一旦算法模型作为 Mat 实验室（支持向量机 (SVM)）的功能进行测试，当一个人直立时，可以通过四种方式识别人的模式。
一旦算法模型作为 Mat 实验室（支持向量机 (SVM)）的功能进行测试，当一个人直立时，可以通过四种方式识别人的模式。
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Due to the great accuracy in small sample numbers and binary classification, we implement Support-vector machine to be the machine learning algorithm model in our system.
由于小样本数和二进制分类的准确性很高，我们实现了支持向量机作为我们系统中的机器学习算法模型。
由于小样本数和二进制分类的准确性很高，我们实现了支持向量机作为我们系统中的机器学习算法模型。
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Algorithm Model sentence examples within neural network model
The algorithm models the stock tick and balance data parameters using KPCA Trans-formation and Artificial neural network model.
该算法使用 KPCA 变换和人工神经网络模型对股票报价和余额数据参数进行建模。
该算法使用 KPCA 变换和人工神经网络模型对股票报价和余额数据参数进行建模。
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RMSE and DC were used as evaluation indexes to compare the LSTM neural network model with the traditional BP (Back Propagation) algorithm model.
以RMSE和DC作为评价指标，将LSTM神经网络模型与传统的BP（Back Propagation）算法模型进行比较。
以RMSE和DC作为评价指标，将LSTM神经网络模型与传统的BP（Back Propagation）算法模型进行比较。
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Algorithm Model sentence examples within convolution neural network
In view of the problem that the convolution neural network research of facial expression recognition ignores the internal relevance of the key links, which leads to the low accuracy and speed of facial expression recognition, and can't meet the recognition requirements, a series cascade algorithm model for expression recognition of educational robot is constructed and enables the educational robot to recognize multiple students' facial expressions simultaneously, quickly and accurately in the process of movement, in the balance of the accuracy, rapidity and stability of the algorithm, based on the cascade convolution neural network model.
针对人脸表情识别的卷积神经网络研究忽略了关键环节的内部关联性，导致人脸表情识别准确率和速度不高，不能满足识别要求的问题，提出了一系列级联算法构建了教育机器人表情识别模型，使教育机器人能够在运动过程中同时快速准确地识别多个学生的面部表情，平衡算法的准确性、快速性和稳定性，基于级联卷积神经网络模型。
针对人脸表情识别的卷积神经网络研究忽略了关键环节的内部关联性，导致人脸表情识别准确率和速度不高，不能满足识别要求的问题，提出了一系列级联算法构建了教育机器人表情识别模型，使教育机器人能够在运动过程中同时快速准确地识别多个学生的面部表情，平衡算法的准确性、快速性和稳定性，基于级联卷积神经网络模型。
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The algorithm model of this method consists of three parts: segmented convolution neural network model, parallel-series shallow convolution neural network model and key point aggregation.
该方法的算法模型由分段卷积神经网络模型、并行串行浅层卷积神经网络模型和关键点聚合三部分组成。
该方法的算法模型由分段卷积神经网络模型、并行串行浅层卷积神经网络模型和关键点聚合三部分组成。
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Algorithm Model sentence examples within aided cervical cancer
We reviewed literatures of the AI-aided cervical cancer screening, described its progress of AI algorithm models, human screening and AI-aided screening interactive models in the cervical cytology; described the Prons and Cons of different machine and deep learning algorithms based on the bright and dark rules; analyzed available results of the AI-aided cervical cancer screening, and diacussed problems and challenges in exploring and applying of the AI-aided cervical cancer screening products.
回顾了人工智能辅助宫颈癌筛查的文献，介绍了人工智能算法模型、人工筛查和人工智能辅助筛查交互模型在宫颈细胞学中的进展；根据明暗规则描述了不同机器和深度学习算法的优缺点；分析了人工智能辅助宫颈癌筛查的现有成果，探讨了人工智能辅助宫颈癌筛查产品在探索和应用中存在的问题和挑战。
回顾了人工智能辅助宫颈癌筛查的文献，介绍了人工智能算法模型、人工筛查和人工智能辅助筛查交互模型在宫颈细胞学中的进展；根据明暗规则描述了不同机器和深度学习算法的优缺点；分析了人工智能辅助宫颈癌筛查的现有成果，探讨了人工智能辅助宫颈癌筛查产品在探索和应用中存在的问题和挑战。
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Algorithm Model sentence examples within facial expression recognition
The construction of video big sensor data security application and intelligent algorithm model has become a hot and difficult topic in related fields based on facial expression recognition.
基于人脸表情识别的视频大传感器数据安全应用及智能算法模型的构建已成为相关领域的热点和难点。
基于人脸表情识别的视频大传感器数据安全应用及智能算法模型的构建已成为相关领域的热点和难点。
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Algorithm Model sentence examples within Genetic Algorithm Model
We present a dual genetic algorithm model in which viruses fighting for survival and policy measures aiming at minimising infection rates in the population competitively evolve.
我们提出了一个双重遗传算法模型，其中为生存而战的病毒和旨在最小化人群感染率的政策措施竞争性地发展。
我们提出了一个双重遗传算法模型，其中为生存而战的病毒和旨在最小化人群感染率的政策措施竞争性地发展。
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In this paper, we try to apply the genetic algorithm model in the field of artificial intelligence to establish a set of solutions for the continuous iterative optimization of financial model parameters, and preliminarily verify its effectiveness, and discuss its possible shortcomings and development direction.
本文尝试将遗传算法模型应用于人工智能领域，建立一套金融模型参数持续迭代优化的解决方案，并初步验证其有效性，并讨论其可能存在的不足和发展方向。
本文尝试将遗传算法模型应用于人工智能领域，建立一套金融模型参数持续迭代优化的解决方案，并初步验证其有效性，并讨论其可能存在的不足和发展方向。
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Algorithm Model sentence examples within Learning Algorithm Model
Proposing another classification task that performs talent identification in sport, particularly focusing on the case study of table tennis, we show that networks metrics based on centrality are strong signal for talent and can be used for training a machine learning algorithm model for this task too.
提出了另一种在体育运动中进行人才识别的分类任务，特别关注乒乓球的案例研究，我们表明基于中心性的网络指标是人才的强烈信号，也可用于训练该任务的机器学习算法模型。
提出了另一种在体育运动中进行人才识别的分类任务，特别关注乒乓球的案例研究，我们表明基于中心性的网络指标是人才的强烈信号，也可用于训练该任务的机器学习算法模型。
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In order to solve the problem that there is a serious lack of operation data set for analyzing various variable conditions or accident conditions, this paper uses the maximum likelihood estimation and the least square estimation to prove that, when the simulation data of nuclear power plant and the operation data with different noise terms are used as the training data samples to train the machine learning algorithm models respectively, the difference between the two algorithms at each moment is only related to the mean of noise distribution.
为解决分析各种变工况或事故工况的运行数据集严重缺乏的问题，本文采用最大似然估计和最小二乘估计来证明，当核电站的模拟数据和将具有不同噪声项的操作数据作为训练数据样本，分别训练机器学习算法模型，两种算法在每一时刻的差异仅与噪声分布的均值有关。
为解决分析各种变工况或事故工况的运行数据集严重缺乏的问题，本文采用最大似然估计和最小二乘估计来证明，当核电站的模拟数据和将具有不同噪声项的操作数据作为训练数据样本，分别训练机器学习算法模型，两种算法在每一时刻的差异仅与噪声分布的均值有关。
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Algorithm Model sentence examples within Proposed Algorithm Model
Based on the proposed algorithm model, we have built a test system with the maximum number of virtual machines to demonstrate the effectiveness in applying game theory in managing and distributing resources for transactions in the blockchain network.
基于所提出的算法模型，我们建立了一个具有最大虚拟机数量的测试系统，以证明应用博弈论在区块链网络中为交易管理和分配资源的有效性。
基于所提出的算法模型，我们建立了一个具有最大虚拟机数量的测试系统，以证明应用博弈论在区块链网络中为交易管理和分配资源的有效性。
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0072) of the proposed algorithm model is smaller than the average absolute error of the noise reconstruction BP network model based on wavelet decomposition (0.
0072）所提算法模型的平均绝对误差小于基于小波分解的噪声重构BP网络模型的平均绝对误差（0.
0072）所提算法模型的平均绝对误差小于基于小波分解的噪声重构BP网络模型的平均绝对误差（0.
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Algorithm Model sentence examples within Network Algorithm Model
The coefficient of determination and coefficient of variation were applied to verify the validity of the simulation results for each neutral network algorithm model.
应用确定系数和变异系数来验证每个中性网络算法模型的仿真结果的有效性。
应用确定系数和变异系数来验证每个中性网络算法模型的仿真结果的有效性。
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Algorithm Model sentence examples within Classification Algorithm Model
This paper studies a garbage classification algorithm model based on deep learning convolutional neural network Efficientnet to help identify garbage classification.
本文研究了一种基于深度学习卷积神经网络Efficientnet的垃圾分类算法模型，以帮助识别垃圾分类。
本文研究了一种基于深度学习卷积神经网络Efficientnet的垃圾分类算法模型，以帮助识别垃圾分类。
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Using a decision tree classification algorithm model is excepted effectively judge users’ current stage and whether they can move to the next stage.
使用决策树分类算法模型可以有效判断用户当前的阶段以及是否可以进入下一阶段。
使用决策树分类算法模型可以有效判断用户当前的阶段以及是否可以进入下一阶段。
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Algorithm Model sentence examples within Detection Algorithm Model
In order to adapt to the real network environment, based on the ELM, we propose an improved particle swarm optimized online regularized extreme learning machine (IPSO-IRELM) intrusion detection algorithm model.
为了适应真实的网络环境，在ELM的基础上，我们提出了一种改进的粒子群优化在线正则化极限学习机（IPSO-IRELM）入侵检测算法模型。
为了适应真实的网络环境，在ELM的基础上，我们提出了一种改进的粒子群优化在线正则化极限学习机（IPSO-IRELM）入侵检测算法模型。
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Traditional network anomaly detection algorithm models mainly use manual selection methods, and the accuracy and efficiency of classification problems are not high.
传统的网络异常检测算法模型主要采用人工选择的方法，分类问题的准确率和效率都不高。
传统的网络异常检测算法模型主要采用人工选择的方法，分类问题的准确率和效率都不高。
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Algorithm Model sentence examples within Clustering Algorithm Model
A deep fuzzy K-means clustering algorithm model with adaptive loss function and entropy regularization (DFKM) is proposed by combining automatic encoder and clustering algorithm.
结合自动编码器和聚类算法，提出了一种自适应损失函数和熵正则化（DFKM）的深度模糊K-means聚类算法模型。
结合自动编码器和聚类算法，提出了一种自适应损失函数和熵正则化（DFKM）的深度模糊K-means聚类算法模型。
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Fuzzy clustering algorithm modelling of the data stream mining based on particle swarm optimization and GA is designed and implemented in this manuscript.
本文设计并实现了基于粒子群优化和遗传算法的数据流挖掘模糊聚类算法建模。
本文设计并实现了基于粒子群优化和遗传算法的数据流挖掘模糊聚类算法建模。
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Algorithm Model sentence examples within Two Algorithm Model
Algorithm Model sentence examples within Optimization Algorithm Model
Due to the high cost of raw materials (polyester and Alumina Trihydrate filler), the Whale Optimization Algorithm model was used to predict the best concentration of Alumina Trihydrate filler to give the best value of flashover voltage.
由于原材料（聚酯和三水氧化铝填料）的高成本，鲸鱼优化算法模型被用来预测三水氧化铝填料的最佳浓度，以给出最佳的闪络电压值。
由于原材料（聚酯和三水氧化铝填料）的高成本，鲸鱼优化算法模型被用来预测三水氧化铝填料的最佳浓度，以给出最佳的闪络电压值。
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The realized CNN optimization algorithm model has improved the prediction effect, and the accuracy rate of medical consultation reaches 90.
实现的CNN优化算法模型提高了预测效果，医疗问诊准确率达到90。
实现的CNN优化算法模型提高了预测效果，医疗问诊准确率达到90。
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Algorithm Model sentence examples within Forest Algorithm Model
On this basis, the random forest algorithm modeling can effectively characterize the complex relationship between gas content and logging curve response.
在此基础上，随机森林算法建模可以有效表征含气量与测井曲线响应之间的复杂关系。
在此基础上，随机森林算法建模可以有效表征含气量与测井曲线响应之间的复杂关系。
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In this paper, we mainly studies the basic principle and algorithm knowledge of data mining, and applies ridge regression and random forest algorithm model in real estate price forecasting.
本文主要研究数据挖掘的基本原理和算法知识，并将岭回归和随机森林算法模型应用于房地产价格预测。
本文主要研究数据挖掘的基本原理和算法知识，并将岭回归和随机森林算法模型应用于房地产价格预测。
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Algorithm Model sentence examples within Analysi Algorithm Model
In order to solve the above problems, a prediction and trend analysis algorithm model of ARIMA is proposed to predict the change trend of driving current, realize the prediction of driving current in the next 8 hours, and analyze whether there is a growth trend of driving current by using the change rate.
针对以上问题，提出了ARIMA的预测与趋势分析算法模型，预测驱动电流的变化趋势，实现对未来8小时内的驱动电流的预测，分析驾驶是否有增长趋势电流通过使用变化率。
针对以上问题，提出了ARIMA的预测与趋势分析算法模型，预测驱动电流的变化趋势，实现对未来8小时内的驱动电流的预测，分析驾驶是否有增长趋势电流通过使用变化率。
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Then, the norovirus infection trend was warned based on the wavelet analysis algorithm model.
然后，基于小波分析算法模型对诺如病毒感染趋势进行预警。
然后，基于小波分析算法模型对诺如病毒感染趋势进行预警。
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Algorithm Model sentence examples within Existing Algorithm Model
The current challenge of pose estimation is that, when objects are textureless, occluded, or scene-cluttered, the detection accuracy is reduced, and most of the existing algorithm models are large and cannot accommodate real-time requirements.
当前姿态估计面临的挑战是，当物体无纹理、被遮挡或场景杂乱时，检测精度会降低，并且现有的算法模型大多很大，无法适应实时性要求。
当前姿态估计面临的挑战是，当物体无纹理、被遮挡或场景杂乱时，检测精度会降低，并且现有的算法模型大多很大，无法适应实时性要求。
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The current challenge of pose estimation is that when the object texture-less, occluded and scene clutter, the detection accuracy will be reduced, and most of the existing algorithm models are large and cannot take the real-time requirements.
当前位姿估计面临的挑战是当物体无纹理、被遮挡、场景杂乱时，检测精度会降低，且现有算法模型大多较大，无法满足实时性要求。
当前位姿估计面临的挑战是当物体无纹理、被遮挡、场景杂乱时，检测精度会降低，且现有算法模型大多较大，无法满足实时性要求。
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Algorithm Model sentence examples within Training Algorithm Model
Four major aspects of the artificial training algorithm model discuss the optimization effect of artificial intelligence on the algorithm in order to provide some guidance for the sustainable and healthy development of mobile short video.
人工智能训练算法模型的四个主要方面探讨了人工智能对算法的优化效果，以期为移动短视频的持续健康发展提供一定的指导。
人工智能训练算法模型的四个主要方面探讨了人工智能对算法的优化效果，以期为移动短视频的持续健康发展提供一定的指导。
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By preprocessing the electrocardiogram data from the MIT-BIH arrhythmia database, the experimental dataset training algorithm model is obtained, and the algorithm model is migrated into the project.
通过对MIT-BIH心律失常数据库的心电图数据进行预处理，得到实验数据集训练算法模型，并将算法模型移植到项目中。
通过对MIT-BIH心律失常数据库的心电图数据进行预处理，得到实验数据集训练算法模型，并将算法模型移植到项目中。
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Algorithm Model sentence examples within Intelligence Algorithm Model
In view of the broad application prospects of nano-sulfides in the field of nano-biomedicine, in the image reconstruction stage, before starting to use artificial intelligence algorithm models, first explore the application of iterative optimization algorithms in the process of magnetic resonance image reconstruction.
鉴于纳米硫化物在纳米生物医学领域的广阔应用前景，在图像重建阶段，在开始使用人工智能算法模型之前，首先探索迭代优化算法在磁共振图像重建过程中的应用.
鉴于纳米硫化物在纳米生物医学领域的广阔应用前景，在图像重建阶段，在开始使用人工智能算法模型之前，首先探索迭代优化算法在磁共振图像重建过程中的应用.
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Besides, the area under the two-dimensional receiver operating characteristic (ROC) curve of the BPNN artificial intelligence algorithm model classification was always greater than the area under the curve of manual segmentation, and the segmentation accuracy was 90.
此外，BPNN人工智能算法模型分类的二维ROC曲线下面积始终大于人工分割的曲线下面积，分割准确率为90。
此外，BPNN人工智能算法模型分类的二维ROC曲线下面积始终大于人工分割的曲线下面积，分割准确率为90。
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Algorithm Model sentence examples within New Algorithm Model
Furthermore, a new algorithm model of BP neural network based on support vector machines (SVMBP) is proposed.
此外，提出了一种新的基于支持向量机的BP神经网络算法模型（SVMBP）。
此外，提出了一种新的基于支持向量机的BP神经网络算法模型（SVMBP）。
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The aim of this research was to develop a new algorithm model for a Decision Support System software to give diagnosis support in dentistry.
本研究的目的是为决策支持系统软件开发一种新的算法模型，以提供牙科诊断支持。
本研究的目的是为决策支持系统软件开发一种新的算法模型，以提供牙科诊断支持。
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Algorithm Model sentence examples within Fuzzy Algorithm Model
Thus predictions with fuzzy algorithm models are considered quite accurate.
因此，模糊算法模型的预测被认为是相当准确的。
因此，模糊算法模型的预测被认为是相当准确的。
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This paper also introduces the method of fuzzy algorithm model to evaluate the performance of teachers and tries to put forward an improvement scheme for the traditional performance evaluation system of teachers.
本文还介绍了模糊算法模型评价教师绩效的方法，并尝试对传统的教师绩效评价体系提出改进方案。
本文还介绍了模糊算法模型评价教师绩效的方法，并尝试对传统的教师绩效评价体系提出改进方案。
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Algorithm Model sentence examples within An Algorithm Model
An algorithm model is innovatively proposed based on back propagation neural network (BPNN) and reinforcement learning (Q-Learning) by combining the motion space, selective strategy, and reward function design.
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An algorithm model for assessing clinical outcome in breast cancer patients with tamoxifen therapy Hui Pang1*, Na Yan2*, Jidong Lang2, Yuebin Liang2, Guoqiang Zhang1, Chaoyang Deng2, Geng Tian2, Li Cai1 and Dawei Yuan2** 1*Harbin Medical University Cancer Hospital.
An algorithm model for assessing clinical outcome in breast cancer patients with tamoxifen therapy Hui Pang1*, Na Yan2*, Jidong Lang2, Yuebin Liang2, Guoqiang Zhang1, Chaoyang Deng2, Geng Tian2, Li Cai1 and Dawei Yuan2** 1*Harbin Medical University Cancer Hospital.
An algorithm model for assessing clinical outcome in breast cancer patients with tamoxifen therapy Hui Pang1*, Na Yan2*, Jidong Lang2, Yuebin Liang2, Guoqiang Zhang1, Chaoyang Deng2, Geng Tian2, Li Cai1 and Dawei Yuan2** 1*Harbin Medical University Cancer Hospital.
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Algorithm Model sentence examples within Intelligent Algorithm Model
This paper proposes an intelligent algorithm model based on Back-Propagation (BP) neural network.
本文提出了一种基于反向传播（BP）神经网络的智能算法模型。
本文提出了一种基于反向传播（BP）神经网络的智能算法模型。
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The construction of video big sensor data security application and intelligent algorithm model has become a hot and difficult topic in related fields based on facial expression recognition.
基于人脸表情识别的视频大传感器数据安全应用及智能算法模型的构建已成为相关领域的热点和难点。
基于人脸表情识别的视频大传感器数据安全应用及智能算法模型的构建已成为相关领域的热点和难点。
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Algorithm Model sentence examples within Pso Algorithm Model
The developed PSO algorithm model is accurate for prediction of experimental data with an average R2 value of 0.
所开发的 PSO 算法模型可准确预测平均 R2 值为 0 的实验数据。
所开发的 PSO 算法模型可准确预测平均 R2 值为 0 的实验数据。
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The LBFGS-PSO algorithm model solves the problems of slow calculation speed and large errors of the traditional quasi-Newton algorithm and particle swarm algorithm.
LBFGS-PSO算法模型解决了传统拟牛顿算法和粒子群算法计算速度慢、误差大的问题。
LBFGS-PSO算法模型解决了传统拟牛顿算法和粒子群算法计算速度慢、误差大的问题。
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Algorithm Model sentence examples within Ai Algorithm Model
Based on the above problem, we use the real open-source data “Sogou CS” as the research object of this paper to carry out related work, test the accuracy of multiple AI algorithm models, use models with good prediction results, and calculate weights based on the accuracy of each model to form a composite model, named WNTC model.
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We reviewed literatures of the AI-aided cervical cancer screening, described its progress of AI algorithm models, human screening and AI-aided screening interactive models in the cervical cytology; described the Prons and Cons of different machine and deep learning algorithms based on the bright and dark rules; analyzed available results of the AI-aided cervical cancer screening, and diacussed problems and challenges in exploring and applying of the AI-aided cervical cancer screening products.
回顾了人工智能辅助宫颈癌筛查的文献，介绍了人工智能算法模型、人工筛查和人工智能辅助筛查交互模型在宫颈细胞学中的进展；根据明暗规则描述了不同机器和深度学习算法的优缺点；分析了人工智能辅助宫颈癌筛查的现有成果，探讨了人工智能辅助宫颈癌筛查产品在探索和应用中存在的问题和挑战。
回顾了人工智能辅助宫颈癌筛查的文献，介绍了人工智能算法模型、人工筛查和人工智能辅助筛查交互模型在宫颈细胞学中的进展；根据明暗规则描述了不同机器和深度学习算法的优缺点；分析了人工智能辅助宫颈癌筛查的现有成果，探讨了人工智能辅助宫颈癌筛查产品在探索和应用中存在的问题和挑战。
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Algorithm Model sentence examples within Bp Algorithm Model
The galloping prediction models are constructed using six algorithms, with the GA-BP algorithm model and the SVM algorithm model having better prediction effects based on performance metrics.
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WPA-BP hybrid algorithm has both the adaptive ability of BP algorithm and the global optimization ability of WPA algorithm, which can improve the existing problems of BP algorithm model.
WPA-BP混合算法兼有BP算法的自适应能力和WPA算法的全局优化能力，可以改善BP算法模型存在的问题。
WPA-BP混合算法兼有BP算法的自适应能力和WPA算法的全局优化能力，可以改善BP算法模型存在的问题。
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Algorithm Model sentence examples within 5 Algorithm Model
Postoperative death model results for liver cancer patients in the test group: of the 5 algorithm models, the highest accuracy rate was that of forest (0.
试验组肝癌患者术后死亡模型结果：5个算法模型中，准确率最高的是森林（0.
试验组肝癌患者术后死亡模型结果：5个算法模型中，准确率最高的是森林（0.
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Results of the total death model for liver cancer patients in test group: among the 5 algorithm models, the highest accuracy rate was that of gbm (0.
试验组肝癌患者总死亡模型结果：5个算法模型中，准确率最高的是gbm（0.
试验组肝癌患者总死亡模型结果：5个算法模型中，准确率最高的是gbm（0.
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Algorithm Model sentence examples within Prediction Algorithm Model
Combining the advantages of ARIMA model and SVM model in short-term time series prediction, a combined prediction algorithm model based on ARIMA and SVM is designed.
结合ARIMA模型和SVM模型在短期时间序列预测中的优势，设计了一种基于ARIMA和SVM的组合预测算法模型。
结合ARIMA模型和SVM模型在短期时间序列预测中的优势，设计了一种基于ARIMA和SVM的组合预测算法模型。
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And use machine learning prediction algorithm model to establish a quaternary model of reed creep.
并利用机器学习预测算法模型建立了芦苇蠕变的四元模型。
并利用机器学习预测算法模型建立了芦苇蠕变的四元模型。
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Algorithm Model sentence examples within Colony Algorithm Model
An improved hybrid genetic artificial bee colony algorithm model is proposed to solve the multi-task model.
针对多任务模型，提出一种改进的混合遗传人工蜂群算法模型。
针对多任务模型，提出一种改进的混合遗传人工蜂群算法模型。
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