搜索资源列表
XB
- 小波函数优化神经网络，支持三维输入四维输出-Wavelet function optimize neural network
PSO_BP
- 基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合，用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂。-Based on Particle Swarm and the BP neural network algorithm for hybrid optimization strategy. Will improve the PSO algorithm and BP neural network, using PSO algorithm to re
pso_nn_exe
- 粒子群优化算法与神经网络算法结合的一种混合算法，采用c语言实现-Particle swarm optimization algorithm and neural network algorithms for a hybrid algorithm, using c language implementation
pso
- pso(粒子群算法）优化神经网络 MATLAB的m 文件
GABP
- 利用遗传算法优化神经网络，并通过matlab得以实现-Matlab genetic neural network implementation
psonn
- 粒子群算法优化神经网络,神经网络为传统的多层感知器。-pso optimizes neural networks. the neural networks are multilayer percetrons.
liziqunann
- 5篇有关粒子群优化神经网络的文章，caj格式的-Particle swarm optimization of neural networks related to the article, caj format
利用遗传算法优化BP神经网络权值和阈值
- 利用遗传算法优化BP神经网络权值和阈值，内含程序和m文件(Using genetic algorithm to optimize BP neural network weights and thresholds, containing procedures and M files)
chapter3基于遗传算法的BP神经网络优化算法
- 用遗传算法去优化BP神经网络，使控制更加精准(Genetic algorithm is used to optimize BP neural network)
GA_BP
- 用遗传算法优化BP神经网络，得到跟精确训练的网络，更加准确的进行拟合，校正，样本预测。(The BP neural network is optimized by genetic algorithm, and the network with accurate training is more accurate, fitting, correcting and forecasting samples.)
TDCS
- 仿真了变换域通信系统在自适应方法和遗传算法优化神经网络方法下的误码率(The BER of the transform domain communication system is simulated by adaptive method and genetic algorithm)
BP神经网络未优化
- 根据输入输出样本训练BP网络，达到一定精度，使用此网络进行预测(According to the input and output samples, the BP network is trained to achieve a certain precision, and the network is used to predict the network)
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.)
T-S 遗传算法优化
- 用遗传算法优化T-S模糊神经网络，实现数据预测，能达到不错的效果。(Optimization of T-S fuzzy neural network by genetic algorithm,Data prediction can be realized and it Can achieve a good effect.)
weimo
- 基于发现蚁群算法优化神经网络是利用蚁群算法在解空间寻找出一组最优的权值和阈值，然后将这一组解带回到神经网络进行细致优化，从而得到最好的权值和阈值。(Found that the ant colony algorithm to optimize the neural network based on Ant Colony Algorithm in the solution space to find a set of optimal weights and threshold based on,
模拟退火算法
- 提出了一种基于粒子群优化(PSO)算法的径向基(RBF)网络参数优化算法,首先利用减聚类算法确定网络径向基函数中心的个数,再用PSO算法优化径向基函数的中心及宽度,最后用PSO算法训练隐含层到输出层的网络权值,找到神经网络权值的最优解,以达到优化神经网络学习的目的。最后,通过一个实验与最小二乘法优化的神经网络进行了比较,验证了算法的有效性。(Particle swarm optimization (PSO) optimization of RBF network)
运动学分析
- 并联机构求正解 用遗传算法来对神经网络算法的权值选取过程进行优化，既能缩短训练时间，提高网络收敛速度，又可以有效避免训练中陷入局部最优解。(According to solving results, the solving precision of neural network algorithm which is optimized by genetic algorithm is able to reach nanoscale and has a higher solving precisio
GABP
- 神经网络预测数据,遗传算法优化权值和阈值，调用子函数包含在压缩包中(Neural network predicts data, genetic algorithm optimizes weights and thresholds, and calls the sub functions contained in the compression package.)
MATLAB
- 本书论述在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、决策树、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 book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
BP神经网络python简单实现
- 去掉神经元类，把功能合并入NetLayer类中，使用矩阵计算加快速度 调整代码实现批量训练方法。 优化程序中numpy库运算顺序，避免产生中间变量(Remove neuron classes, merge functions into NetLayer classes, and use matrix to calculate speed.)