搜索资源列表
bpnn
- BP神经网络的简单例子，使用C++编写。-Simple example of BP Neural Network
ANN
- 通过BPNN神经网络预测时间序列值,已经调试好的程序，-BPneural network
Research-on-Optimization-of-Speed-Identification.
- Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disad
BPNN-master
- 反向传播神经网络,两输入两隐含单元一输出(Backpropagation Neuron Network)
bpnn
- BP反向传播神经网络算法，包括数据预处理部分(this zip include BP back propagation Neural network algorithm and the data preprocessing section)
GA-BPNN完整实例
- GA_BPNN，里面有详细的代码和注释，能够很快入手，值得推荐！(LG_BPNN use and annotations, with detailed code and comments study quickly it is recommended!)
BPNN
- 该文件提供BP神经网络的源代码。(The file provides the source code of the BP neural network)
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)
BP_分类
- 用BP神经网络做的分类的一个小例子，基于python写的(python BPNN classification)
BPNN
- 能够实现bP算法，数据集使用的是iris里面的花卉相关的数据，训练集是0.7，测试集是0.3.(BP algorithm can be realized)
bpnag
- Forecast using bpnn.arsitek.akt func
bpnn
- 用Python3实现BP神经网络对MNIST数字手写体识别，下载就能用(Using Python3 to implement BP neural network for MNIST digital handwriting recognition, download can be used)
Relu1-TensorFlow
- TensorFlow实现relu前馈神经网络(relu BPNN,using TensorFlow)
BPNN
- 搭建简单的BP神经网络，对数据进行分类，理解简单的神经网络搭建方法。(A simple BP neural network is built to classify data and understand simple neural network building method.)
混沌tent映射tent分叉程序
- 构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN)，目的在于用改进的灰狼优化算法优化神经网络模型，利用神经网络的反向传播优势，改善神经网络算法易于陷入局部最小值的缺陷，提高神经网络模型的预测精度。(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization alg
bp pred
- 反向传播神经网络进行数据回归预测，选取自变量为多维，因变量为一维(Back propagation neural network is used for data regression prediction. The independent variable is multidimensional and the dependent variable is one-dimensional.)
基于遗传算法优化BP神经网络
- 利用遗传算法实现对BP神经网络的优。内容包含：GA主函数；GA-BPNN优化主函数；目标函数objfun；BPNN主函数；以及一个分类原始数据可供优化模型验证。