人工智能之八数码难题程序

BP神经网络分类器C程序-BP neural network classifiers C Program

详细讲解了动态规划的算法问题，再通过“装箱问题”等7个程序实例介绍解决动态规划问题的思路和方法。-Gave a detailed algorithm for dynamic programming problems, and through the " bin-packing problem" and other instances of seven procedures introduced to solve the problem of dynamic programming ideas and methods.

神经网络计算双色球程序，采用快速的神经网络函数来实现，准确度高-Loans neural network computing procedures, the use of a fast neural network function to realize high accuracy

AIML的实现，AIML是机器人语言中比较适用的原型，希望大家喜欢-AIML realization, AIML robot language is more applicable to the prototype, I hope everyone likes

he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

模拟退火生成树，一种比较好分类方法。程序简单，易懂。-simulated annealing Spanning Tree, a better classification. Simple and straightforward.

L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space.

线性神经网络应用实例-linear neural network application

模拟遗传算法，JAVA-Simulation of Genetic Algorithms, JAVA

这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.