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《MATLAB神经网络30个案例分析》中的第4个例子，案例4 神经网络遗传算法函数极值寻优-非线性函数极值。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 4 example, case 4 optimization extreme genetic algorithm neural network function- nonlinear function extremum. Hope to have certain h
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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
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matlab神经网络算法，和遗传算法相结合，很好哦-matlab neural network algorithm, and genetic algorithm combined oh well
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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 op
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游戏编程中的人工智能技术
包括遗传算法、神经网络的游戏编程.-The technology of artificial intelligence in game programming
Including genetic algorithm, neural network game programming.
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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
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利用神经网络优化BP神经网络，能有效提高BP神经网络对非线性的拟合精度，效果较好。-Using neural network optimization BP neural network, BP neural network can effectively improve the accuracy of nonlinear fitting better.
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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
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MATLAB神经网络30个案例分析，遗传算法优化BP神经网络-非线性函数拟合等30种代码-MATLAB neural network 30 case studies, genetic algorithm optimization BP neural network- a nonlinear function fitting and other 30 kinds of code
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基于遗传算法 神经网络计算补偿因子 译码算法 NND-NND calculation of compensation factor decoding algorithm based on genetic algorithm neural network
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运用遗传算法优化BP神经网络-来求取非线性函数拟合用图-Using genetic algorithm optimization BP neural network- to strike a nonlinear function fitting Fig
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运用神经网络遗传算法函数极值寻优-来求取非线性函数极值代码-Neural network genetic algorithm optimization function extreme
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神经网络和遗传算法的有机结合 更好的加快运算速度 寻求最优解 可以预测 可以判断 希望可以帮到你你们-Genetic algorithm and neural network, the combination of neural network and genetic algorithm is better to speed up the speed to seek the optimal solution can be predicted to judge the hope can help
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这是我用遗传算法对神经网络模型进行的优化，可以实现对某些数据的预测-This is my genetic algorithm with optimization neural network model can be achieved on some of the data to predict
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遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter
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用遗传算法优化BP神经网络参数的代码，里面有源码，是做项目用到的源程序。-Code optimization BP neural network parameters using genetic algorithms, which has source code, is used to do the project source.
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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 optimiza
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根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitt
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对于未知的非线性函数，仅通过函数的输入输出数据难以准确寻找函数极值，这类问题可以通过神经网络结合遗传算法求解，利用神经网络的非线性拟合能力和遗传算法的非线性寻优能力寻找函数极值。-For unknown nonlinear function, only through the function of input and output data is difficult to accurately find the function extreme value, this kind of prob
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神经网络MATLAB 案例实现 matlab项目 matlab遗传算法 神经网络编程(Neural network, MATLAB, case implementation, matlab project, MATLAB, genetic algorithm, neural network programming)
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