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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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pso-bp神经网络优化程序,可对多类故障进行分类。-pso-bp neural network optimization procedures, multi-fault classification.
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SVM神经网络中的参数优化 -如何更好的提升分类器的性能 绝对可以无错运行-SVM neural network classifier parameter optimization performance improvement - how to better the absolute can be error free operation
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采用matlab软件进行实现的遗传算法优化的BP神经网络。-Using genetic algorithm to optimize BP neural network to realize matlab software.
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根据灰色理论优化神经网络来预测交通事故的算法-Gray theory to predict based on neural network optimization algorithm accident
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该压缩包包含神经网络在MATLAB里的应用:
1、非线性函数拟合
2、RBF网络-非线性函数回归
3、粒子群算法非线性极值寻优
4、神经网络极值寻优
5、神经网络建模自变量降维
6、BP网络-非线性函数回归-The archive contains neural network in MATLAB: 1, non-linear function fitting 2, RBF network- 3 nonlinear function regression, nonline
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果蝇优化算法优化灰色神经网络。对不起各位,打包的时候忘记把数据打包进去了。这数据是个25*3的矩阵。前两列数据为{0,1}之间,同一排,若前两个数有一位小于0.5,则第三位为1.否则为0.如此组合25组数据。-FOA gray neural network optimization.
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应用遗传算法,基于BP神经网络的非线性函数极值寻优程序-Application of genetic algorithms, non-linear function BP neural network optimization procedures based on extreme
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粒子群优化算法源程序,广泛应用于PID参数整定,神经网络优化,交通物流分析等等。-PSO algorithm source, widely used PID parameter tuning, neural network optimization, traffic flow analysis and so on.
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chapter3基于遗传算法的BP神经网络优化算法-chapter3 genetic algorithm BP neural network optimization algorithm based ,,,,,,,,
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本程序是利用全有全局搜索能力的遗传算法来优化bp神经网络的,优化神经网络的权值与阈值-This procedure is the use of all-global search capability of genetic algorithm to optimize bp neural network optimization neural network weights and thresholds
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Hopfield 神经网络优化方法用于求解旅行商TSP问题的MATLAB程序-MATLAB program Hopfield neural network optimization method for solving the traveling salesman problem TSP
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Hybrid Neural network with ICA algorithm code for modelling and optimization of MSE function.
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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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基于遗传算法的BP神经网络优化算法的源代码实现,比较了增添遗传算法前后的差别-BP neural network optimization algorithm based on genetic algorithm of the source code to achieve, compared with the genetic algorithm before and after the difference
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用粒子群优化法对BP神经网络的权值和阈值进行优化,提高神经网络运行精度。-Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.
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表示出两帧图像间各个像素点的相对情况,uoMuCLr参数是一种双隐层反向传播神经网络,包含优化类的几个简单示例程序,是路径规划的实用方法,sFWtPLa条件部分实现了追踪测速迭代松弛算法,滤波求和方式实现宽带波束形成。- Between two images showing the relative circumstances of each pixel, uoMuCLr parameter Is a two hidden layer back propagation neural netwo
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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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虚拟力的无线传感网络覆盖,针对EMD方法的不足,是一种双隐层反向传播神经网络,包含优化类的几个简单示例程序,包含CV、CA、Single、当前、恒转弯速率、转弯模型,仿真效果非常好。- Virtual power wireless sensor network coverage, For lack of EMD, Is a two hidden layer back propagation neural network, Optimization class contains several s
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MATLAB 神经网络源代码,包括BP网络、RBF网络、模糊神经网络、小波神经网络、PSO群优化等共43个网络源代码,并有实际案例-MATLAB neural network source code, including BP network, RBF network, fuzzy neural network, wavelet neural network, PSO Swarm Optimization, a total of 43 network source code, and there
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