ICA经典文章,入门必看。受益，高阶矩统计牲在信号处理中的应用，详细介绍许多重要概念。...

BP智能岩土工程，为初学者提供学习。高手可以进行更改程序不能处理大数据量的错误。-BP smart geotechnical engineering, to beginners learning. Experts can not change procedures to deal with the large volume of data errors.

Java编写的分形程序，利用随机分形画出的蕨类植物的叶子图。另：有C源程序 -Java fractal program written using random fractal ferns painted leaves Fig. Another: There are C source code

基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared

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

tutorials for learning protege(open source softwar to design the ontology)

模拟退火基本模块，其中在尺度变换部分应用到了类似模拟退火算法部分，所有变量均使用汉语拼音很好懂-Simulated Annealing basic module, in which part of the scale transformation is applied to a similar part of simulated annealing algorithm, all variables are very good to understand the use of Hanyu Pinyin

Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem

模糊数学建摸课件。讲述的是数学建模中模糊数学的概念，给初学者一个清晰地认识。-Fuzzy modeling courseware. About the mathematical concept of fuzzy mathematical modeling to give beginners a clear understanding of.

经典的BNP神经网络例子-classic example BNP neural network

用遗传算法实现任务分配优化的源程序。-genetic algorithm optimization task allocation of the source.