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Dynamic Evolving sentence examples within neural fuzzy inference

neural fuzzy inference

This study proposes a dynamic evolving neural fuzzy inference system (DENFIS) as an alternative tool to estimate the suspended sediment load based on previous values of streamflow and sediment.

Prediction of Suspended Sediment Load Using Data-Driven Models

neural fuzzy inference

length and width) by utilizing data driven techniques: gene expression programming (GEP), M5 Tree model, multivariate adaptive regression spline (MARS), and dynamic evolving neural-fuzzy inference system (DENFIS) trained with hydraulics input variables including discharge ratio (Qr), downstream Froude number (Fr3), and side slope angle of main channel ($$\sin \,\theta$$sinθ).

Hydrodynamics of river-channel confluence: toward modeling separation zone using GEP, MARS, M5 Tree and DENFIS techniques

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Dynamic Evolving sentence examples within dynamic evolving neural

dynamic evolving neural

This study proposes a dynamic evolving neural fuzzy inference system (DENFIS) as an alternative tool to estimate the suspended sediment load based on previous values of streamflow and sediment.

Prediction of Suspended Sediment Load Using Data-Driven Models

dynamic evolving neural

length and width) by utilizing data driven techniques: gene expression programming (GEP), M5 Tree model, multivariate adaptive regression spline (MARS), and dynamic evolving neural-fuzzy inference system (DENFIS) trained with hydraulics input variables including discharge ratio (Qr), downstream Froude number (Fr3), and side slope angle of main channel ($$\sin \,\theta$$sinθ).

Hydrodynamics of river-channel confluence: toward modeling separation zone using GEP, MARS, M5 Tree and DENFIS techniques

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Dynamic Evolving sentence examples within dynamic evolving spike

dynamic evolving spike

In the experiments, we improved a dynamic evolving spike neuron network (SNN) as the classifier, and used Generative Adversarial Networks (GANs) to reconstruct image.

Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network

dynamic evolving spike

We also combine the CorrNet framework with a linear support vector machine and a dynamic evolving spike neuron network for pattern representation separately, thus provide a novel method for decoding cognitive activity patterns.

A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections

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10.1016/j.knosys.2018.09.002

Detecting communities in dynamic evolving networks is of great interest.

An incremental method to detect communities in dynamic evolving social networks

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10.1007/978-3-030-19823-7_18

In the experiments, we improved a dynamic evolving spike neuron network (SNN) as the classifier, and used Generative Adversarial Networks (GANs) to reconstruct image.

Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network

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10.1109/SYSCON.2019.8836832

The concept of the dynamic evolving toolbox rests on the assumption that not only is a wide variety of tools and techniques needed to address complex systems.

Towards an Evolving Toolbox in Complex Systems Management.

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10.1109/TCDS.2018.2854274

We also combine the CorrNet framework with a linear support vector machine and a dynamic evolving spike neuron network for pattern representation separately, thus provide a novel method for decoding cognitive activity patterns.

A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections

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What is/are Dynamic Evolving?

Dynamic Evolving - Detecting communities in dynamic evolving networks is of great interest. [1] In the experiments, we improved a dynamic evolving spike neuron network (SNN) as the classifier, and used Generative Adversarial Networks (GANs) to reconstruct image. [2] The concept of the dynamic evolving toolbox rests on the assumption that not only is a wide variety of tools and techniques needed to address complex systems. [3] We also combine the CorrNet framework with a linear support vector machine and a dynamic evolving spike neuron network for pattern representation separately, thus provide a novel method for decoding cognitive activity patterns. [4]

neural fuzzy inference

This study proposes a dynamic evolving neural fuzzy inference system (DENFIS) as an alternative tool to estimate the suspended sediment load based on previous values of streamflow and sediment. [1] length and width) by utilizing data driven techniques: gene expression programming (GEP), M5 Tree model, multivariate adaptive regression spline (MARS), and dynamic evolving neural-fuzzy inference system (DENFIS) trained with hydraulics input variables including discharge ratio (Qr), downstream Froude number (Fr3), and side slope angle of main channel ($$\sin \,\theta$$sinθ). [2] New development of dynamic evolving neural-fuzzy inference system model was proposed for modeling solar radiation based on univariable air temperature scheme. [3] A global NFM, ANFIS, and two local NFMs, Dynamic Evolving Neural-Fuzzy Inference System (DENFIS) and Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK), were tested. [4] Secondly, the DENFIS (Dynamic Evolving Neural-Fuzzy Inference System) method is used. [5] A dynamic evolving neural fuzzy inference system (DENFIS) equalization scheme has been used to achieve this objective. [6] In this paper, a new methodology for dynamic modelling of customer preferences based on online customer reviews is proposed to address the two issues which mainly involves opinion mining and dynamic evolving neural-fuzzy inference system (DENFIS). [7]

dynamic evolving neural

This study proposes a dynamic evolving neural fuzzy inference system (DENFIS) as an alternative tool to estimate the suspended sediment load based on previous values of streamflow and sediment. [1] length and width) by utilizing data driven techniques: gene expression programming (GEP), M5 Tree model, multivariate adaptive regression spline (MARS), and dynamic evolving neural-fuzzy inference system (DENFIS) trained with hydraulics input variables including discharge ratio (Qr), downstream Froude number (Fr3), and side slope angle of main channel ($$\sin \,\theta$$sinθ). [2] New development of dynamic evolving neural-fuzzy inference system model was proposed for modeling solar radiation based on univariable air temperature scheme. [3] A global NFM, ANFIS, and two local NFMs, Dynamic Evolving Neural-Fuzzy Inference System (DENFIS) and Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK), were tested. [4] Secondly, the DENFIS (Dynamic Evolving Neural-Fuzzy Inference System) method is used. [5] A dynamic evolving neural fuzzy inference system (DENFIS) equalization scheme has been used to achieve this objective. [6] In this paper, a new methodology for dynamic modelling of customer preferences based on online customer reviews is proposed to address the two issues which mainly involves opinion mining and dynamic evolving neural-fuzzy inference system (DENFIS). [7]

dynamic evolving spike

In the experiments, we improved a dynamic evolving spike neuron network (SNN) as the classifier, and used Generative Adversarial Networks (GANs) to reconstruct image. [1] We also combine the CorrNet framework with a linear support vector machine and a dynamic evolving spike neuron network for pattern representation separately, thus provide a novel method for decoding cognitive activity patterns. [2]