基于VB开发的粒子群优化算法的软件及源程序。

一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

八数码难题源代码-eight digital source code problems

基于matlab的指纹识别系统，采用基于细节点对比，输入图像必须是256×256，8－bit灰度值，500dip的指纹。-Matlab-based fingerprint identification system based on Minutiae contrast, imported images must be 256 x 256.8-bit gray scale values 500dip fingerprints.

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.

vb环境下 匈牙利算法的解决 自己编的 仅供参考-Hungary Algorathm in vb,made by myself ,just for reference

一个A*算法的的实现过程的演示，是个非常清晰的能理解到A是怎么实现的-A* algorithm is a realization of the demonstration process, it is a very clear to understand how the realization of A

本程序实现了一个人工神经网络的算法，相关领域的人可以参考。-This procedure implements a neural network algorithm, in related fields who can refer to.

人工神经网络基本模型：BP、ART、Hopfield、SOM-ANN basic model : BP, ART, Hopfield, SOM