浙江大学编的神经网络入门教程，pdf格式。

Neural Network program for pattern classification

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2

BP网络解决异或问题的实例，有初始值和最终结果的显示。本网络结构为三层BP网络，各层神经元个数可变，更改相关#define即可。（注释较详细，主函数中调用的函数和矩阵类都定义在文件function.h中）-BP network to solve XOR problem instance, there are initial values and final results are displayed. The BP network structure for the three-tier network of neurons in the number of floors variable, change the relevant# Define you. (Note more detailed, the main function calls the function and matrices are defined in the document in function.h)

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.

Apriori源代码，包含c++/java实现；神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序；遗传C源代码；外加充实的数据挖掘的算法讲解ppt -Apriori the source code, including c++/Java realize

用神经网络算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using neural network algorithm for solving the problem tsp. . . matlab prepared. Coordinate with the city for inspection.

一种基于家庭进行选择的遗传算法VC++源程序，经测试其性能优于一般算法和自适应算法。-a family to choose the genetic algorithm source VC, After testing its performance is superior to the general algorithms and adaptive algorithm.

人工神经网络java工具箱源代码 包含BP网络，K分类和RBF网络-ANN java source code toolkit includes BP, K Classification and RBF Network

数据挖掘概念和技术，电子书，英文版，300多页-Data mining concepts and techniques

新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!