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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theory,
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theories, such
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as B
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络等以及各种优化算法与神经网络的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neura
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络等以及各种优化算法的结合。(This program discusses how to implement neural network in MATLAB environment, including the commonly used neural network and related theories, such as BP neural network
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM等以及各种优化算法的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RB
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- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、SVM等以及各种优化算法的结合。(This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, SVM, and t
PSO-Based-SVR-master
- 该文件为粒子群算法优化支持向量机模型(This document is optimized by Particle Swarm Optimization (SVM) model)
chapter_GA
- 基于GA优化的SVM算法，它可以被用于预测分类(SVM algorithm based on GA optimization for prediction classification)
chapter_PSO
- 基于PSO优化的SVM算法，它可以用来预测分类(SVM algorithm based on PSO optimization can be used to predict classification.)
CS_SVM_exmp
- 该程序是cs-svm的程序，用于对svm的算法优化(This program is a program of cs-svm, which is used to optimize the algorithm of SVM.)
Mariana
- 使用模拟退火算法进行SVM超参数优化，NASA 开源软件。(Mariana is an algorithm that efficiently optimizes the hyperparameters for Support Vector Machines for regression and classification. It currently uses Simulated Annealing for optimization but can be extended to use a va
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part