资源列表
bp
- BP神经网络，用于确定发电机定子冷却水温度标准值。-back propagation neural network
123
- 基于hopfield神经网络的控制系统参数辨识-Identification of the control system based on neural network parameters hopfield
LibSVMsharp-master
- C#版SVM分类器源代码包，包含源代码，测试程序，测试数据，可完美运行。-C# Version SVM classification source code ,include source code ,test procedure and test data ,it can be run perfectly.
BP
- BP神经网络matlab程序，BP算法由数据流的前向计算（正向传播）和误差信号的反向传播两个过程构成。正向传播时，传播方向为输入层→隐层→输出层，每层神经元的状态只影响下一层神经元-BP neural network matlab program, BP algorithm the data stream forward calculation (forward propagation) and two back-propagation process error signal configu
BP
- BP神经网络，3层神经网络，中间隐含层节点为6-BP neural network, 3 layer neural network, and hidden layer nodes is 6 in the middle
Astar-Solution-eight-digital-problem
- 经典八数码问题A*算法，用DEV编译运行的，算法很健壮，注释不多但严格按照算法思路编写。-Classic eight digital A* algorithm, using DEV compiler to run, the algorithm is very robust, not many notes but in strict accordance with the algorithm to prepare.
N-queens-algorithm
- n皇后问题的BFS算法，算法简洁，作为初学者一看就懂，不过先看会BFS算法很重要，这比普通的动态规划速度要快很多-N queens problem BFS algorithm, the algorithm is simple, as a beginner to understand, but first look at the BFS algorithm is very important, which is much faster than the general dynamic planni
wlyc
- 通过神经网络来进行股票预测，实现对未来股市的上证大盘的预测。-Stock through neural network prediction, realizes the stocks of Shanghai stock market forecast for the future.
DFS
- 用DEV写的DFS经典算法例题，危险系数，题目有些难度，代码简洁效率高-With DEV written DFS classical algorithm example, the risk factor entitled some difficulty, simple and high code efficiency
GA_js
- Javascr ipt语言写的遗传算法，应用于解决经典的旅行商问题，跨平台，可直接在浏览器中运行，图形界面清晰- Javascr ipt written by a genetic algorithm to solve classic traveling salesman problem, the browser can be directly run, clear graphical interface
chapter2_1
- 利用训练数据，测试数据进行基于双隐含层BP神经网络的预测-Using the training data, test data to predict based on double hidden layer BP neural network
chapter8_1
- GRNN的数据预测—基于广义回归神经网络的货运量预测-GRNN of data to predict- based on generalized regression neural network of cargo forecasts