搜索资源列表
BP
- 神经网络bp算法VC++实现网络的相关运算有：1、网络的输入输出接口，即训练数据的输入，各层权值和节点阈值的输出；2、网络的学习，包括前向传播运算和反向传播运算，误差估计，权值阈值修改；3、网络预测的实现等等。其中网络的学习算法采用变步长和加动量项的优化学习算法，经过我的实验对网络的学习效率有很大提高-Neural network bp algorithm VC++ to achieve the network-related operations: 1, the network input a
myga-bp
- 修改过的用c语言编写的遗传算法优化BP神经网络初始阈值的程序，效果还行。可根据实际情况加一些归一化。-Modified genetic algorithm to optimize BP neural network initial threshold c language program, the effect is okay. Actual situation according to add some normalization.
GA-.BP
- 通过遗传算法优化BP神经网络权系数，达到局部的最有、优-By genetic algorithm to optimize BP neural network weight coefficient to reach the most local, excellent
genetic--BP-weights-and-threshold
- 利用遗传算法优化BP神经网络权值和阈值的matlab-The use of genetic algorithm to optimize BP neural network weights and threshold
PSO-bp
- 粒子群优化BP神经网络，代码通俗易懂，学习一下-PSO Optimize BP neural network, the code easy to understand
PSO论文
- 利用PSO优化Bp算法， 同时提供了详细地论文，代码仅供参考(Papers and code, on the use of PSO to improve the BP algorithm, the paper is more detailed, for reference only)
遗传算法优化BP神经网络-非线性函数拟合
- 进行非线性函数拟合且用遗传算法对BP神经网络进行优化(The nonlinear function is fitted and the BP neural network is optimized by genetic algorithm)
29782206FA-BP
- 该算法是蝙蝠和BP网络结合的算法，用于优化BP算法(The algorithm is a combination of bat and BP networks, which is used to optimize BP algorithms)
55593403PSO-BPmatlabkexing
- 改程序是一种智能算法程序，利用PSO优化BP网络进行寻优，需要的同学可以自己下载(Change the program is an intelligent algorithm procedures, the use of PSO optimization BP network for optimization, the need for students can download their own)
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
pso-elman-3-7-1
- pso优化bp神经网络的权值和阈值，大家可以看看。(PSO optimization BP neural network weights and thresholds, we can see.)
遗传算法优化BP神经网络用于非线性函数拟合
- 遗传算法优化的bp神经网络用于非线性函数的拟合。(BP neural network optimized by genetic algorithm for nonlinear function fitting.)
PSO-bp
- POS优化BP神经网络。利用POS的优化性能(POS optimization of BP neural network)
PSO-BP
- 粒子群算法优化BP神经网络，可用于指标预测(BP neural network optimized by Particle swarm optimization (PSO) that can be used for index prediction)
pso-bp
- 使用粒子群算法优化bp神经网络,完成函数逼近(Optimize bp neural network using particle swarm optimization algorithm to complete function approximation)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
PSO-BP程序
- 用粒子群优化BP神经网络matlab代码 %以下是训练数据，前4列为输入，第5列为输出 5.700 3.800 0.3175 2.33 2310 4.550 3.050 0.3175 2.33 2890 2.950 1.950 0.3175 2.33 4240 1.950 1.300 0.3175 2.33 5840 1.400 0.900 0.3175 2.33 7700 1.200 0.800 0.3175 2.33 8270 1.050 0.700 0.3175
GA & PSO+BP
- 遗传算法与粒子群算法优化BP，有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
基于天牛须搜索算法优化BP神经网络
- 天牛须优化算法及其对BP神经网络的优化。(The optimization algorithm and its application to BP neural network)