人工神经网络BPN，人工神经网络BP算法源代码

人工智能的经典八皇后问题,这个算法是a*算法.利用这个算法可以解决八数码,八皇后问题等 -artificial intelligence Queen"s classic 8, the algorithm is a* algorithm. Use of this algorithm can solve eight digital, 8 Queen"s problems

细胞自动机的一个源代码，可以生成一维细胞自动机，将.cc文件改成.cpp运行-Cellular Automata of a source code can be generated one-dimensional cellular automata, will be. Cc document changed. Cpp Operation

遗传算法VC编程，对于初学者可能有用，多多支持~-VC programming genetic algorithms, may be useful for beginners, the generous support of ~

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

神经网络算法源程序，如ADALINE，提供针对算法的演示源程序-neural network algorithm source, such as ADALINE provide demonstration against the algorithm source code

用BP网络实现对图像的边缘进行提取，本程序为演示程序，可以看到BP在应用中的效果-BP network of image edges extraction, the procedure for the demonstration program, we can see BP in the application of the results

遗传算法的源程序例子，对于初学者有很大帮助，建议多-Genetic algorithm source code examples are very helpful for beginners, the proposed multi-

基于MATLAB的神经网络非线性系统辨识软件包.-MATLAB-based nonlinear neural network system identification package.

由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the "k-means clustering algorithm" mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.

本程序是具有进化能力的人工生命floy，你会看到越来越具有智能的floy会自发的产生。 -this evolutionary process is the ability of artificial life floy, you will see more intelligent the floy will spontaneously emerge.