Search - genetic algorithm in neural network

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[matlab] ganetwork DL : 0: 利用Matlab编写的粗神经网络的构造，其中粗神经网络用遗传算法实现-Using Matlab prepared rough neural network structure, in which rough neural network using genetic algorithm
Date : 2026-01-03 Size : 1kb User : 伏明兰
[matlab] PSO-evolutionarycomputation DL : 0: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications
Date : 2026-01-03 Size : 22kb User : zzh
[matlab] GA_RBF DL : 0: 利用遗传算法优化RBF神经网络的结构，包括优化权值、高斯基的中心和宽度-The use of genetic algorithm to optimize the structure of RBF neural network, including the right to optimize the value of the Gaussian center and width
Date : 2026-01-03 Size : 2kb User : shui
[matlab] wnn DL : 0: 小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) -Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
Date : 2026-01-03 Size : 1kb User : lanhucx
[matlab] aa DL : 0: Express gatool use of MATLAB in the implementation of training neural network genetic algorithm procedure
Date : 2026-01-03 Size : 116kb User : panbin
[matlab] gabp DL : 0: 遗传算法优化BP神经网络的权值的matlab程序源代码。-Genetic algorithm BP neural network weights of the matlab source code.
Date : 2026-01-03 Size : 128kb User : hexing
[matlab] GAbp DL : 0: 基于遗传算法改进的神经网络算法，可以广泛的应用于数据预测及数据分析-Improved genetic algorithm-based neural network algorithm can be widely used in data forecasting and data analysis
Date : 2026-01-03 Size : 51kb User : 云飞
[matlab] the-wavelet-neural-network DL : 0: 城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.-For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim- ulation using the GA2WNN prediction model demonstrates the validity of the model .
Date : 2026-01-03 Size : 601kb User : mengfei
[matlab] weichushimallet DL : 0: 利用MATLAB语言编写的遗传算法优化小波神经网络的源程序-Genetic algorithm to optimize the wavelet neural network source code written in MATLAB language
Date : 2026-01-03 Size : 2kb User : xiaoyi
[matlab] matlab DL : 1: 本文主要有BP神经网络的非线性系统建模-非线性函数拟合，还有遗传算法优化BP神经网络-非线性函数拟合等。-In this paper, the BP neural network nonlinear system modeling- nonlinear fitting function, genetic algorithm to optimize BP neural network- non-linear function fitting.
Date : 2026-01-03 Size : 628kb User : jack
[matlab] ga DL : 0: In this paper, an attractive approach for teaching genetic algorithm has been presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation, and selection. An advantage of using such an approach is that the student becomes familiar with some advanced features of MATLAB, and furthermore, with the availability of other MATLAB Toolboxes such as The Control Systems Toolbox, Neural Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to develop genetic algorithm-based approaches to designing intelligent systems, which could lead to his/ her final year or MSc project.
Date : 2026-01-03 Size : 96kb User : jacob1717
[matlab] New-Fuzzy-nNetwork-design-using-Genetic-Algorithm DL : 0: In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,-In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,
Date : 2026-01-03 Size : 290kb User : jacobjacobjacob17
[matlab] PSO501 DL : 0: 优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法神经网络算法等. -Optimization problem is often encountered in industrial design, many problems can be attributed to the last optimization problem in order to solve a variety of optimization problems, many optimization algorithms have been proposed, relatively well-known climbing method, genetic algorithm neural network algorithm.
Date : 2026-01-03 Size : 1kb User : 朱坤鸿
[matlab] dastebandi DL : 0: Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni Design a fuzzy control system to This is a book about fuzzy system Cloud adaptive genetic algorithm BP neural network and RBF neural use a three-layers BP network to Professor Lin in Taiwan support v neural network theory Practical matlab time series ar m efficient robot path planning-pub A population-based artificial imm A description of the neural netwo Clustering AHC, K-means, SOM--Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni Design a fuzzy control system to This is a book about fuzzy system Cloud adaptive genetic algorithm BP neural network and RBF neural use a three-layers BP network to Professor Lin in Taiwan support v neural network theory Practical matlab time series ar m efficient robot path planning-pub A population-based artificial imm A description of the neural netwo Clustering AHC, K-means, SOM-NN
Date : 2026-01-03 Size : 89kb User : mohsen
[matlab] estekhraj-vijegi DL : 0: Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni Design a fuzzy control system to This is a book about fuzzy system Cloud adaptive genetic algorithm BP neural network and RBF neural use a three-layers BP network to Professor Lin in Taiwan support v neural network theory Practical matlab time series ar m efficient robot path planning-pub A population-based artificial imm A description of the neural netwo Clustering AHC, K-means, SOM--Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni Design a fuzzy control system to This is a book about fuzzy system Cloud adaptive genetic algorithm BP neural network and RBF neural use a three-layers BP network to Professor Lin in Taiwan support v neural network theory Practical matlab time series ar m efficient robot path planning-pub A population-based artificial imm A description of the neural netwo Clustering AHC, K-means, SOM-NN
Date : 2026-01-03 Size : 13kb User : mohsen
[matlab] BP-neural-network-genetic- DL : 0: 用遗传算法优化BP神经网络的matlab源代码，在matlab 7.0中实现-BP neural network optimization using genetic algorithm matlab source code, implemented in matlab 7.0
Date : 2026-01-03 Size : 2kb User : gym
[matlab] Genetic-neural-network-algorithm DL : 0: 一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:\数据.txt ) 这里的D是你存储数据的位置-A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D:\ data.Txt) where D is your data storage location
Date : 2026-01-03 Size : 12kb User : gym
[matlab] ga_chirag DL : 0: genetic algorithm to reduce mean squared error in neural network learning process.
Date : 2026-01-03 Size : 1kb User : 1101_H
[matlab] 30-case-analysis-of-neural-network DL : 0: 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimization algorithm, genetic algorithm is used to optimize the calculation book are introduced in detail each source code and write specifications.
Date : 2026-01-03 Size : 3.65mb User : xd
[matlab] 82840028 DL : 0: 应用遗传算法与类神经网络于混沌系统之辨识,推荐给大家-Using genetic algorithm and neural network in the recognition of chaotic system, recommend to everyone
Date : 2026-01-03 Size : 297kb User : JJqwwgf!972143

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