这是一个使用VC++编写的“基于神经网络方法的专家系统源代码”，很有参考价值，请检查...

一篇捷联惯性导航系统的姿态算法论文，并对补偿算法进行了详细的论述。-A strapdown inertial navigation system algorithm posture papers, and compensation algorithms are discussed in detail.

Demonstration and test of the kernel-ica package

jnbc与weka的接口，包含src和bin文件-jnbc weka and the interface, and contains src paper bin

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

神经网络介绍的源码-neural network introduced by the source

这是一个用MATLAB写的模拟退火算法程序。-This is a written with MATLAB procedure simulated annealing algorithm.

该程序是一整数版的PSO程序。该程序对于整数版PSO的各种应用可作为模板程序。-that the procedure was an integral version of the PSO procedures. The procedure for integer version of the PSO as a template application procedures.

神经网络 MCP运算法-neural network algorithm

结合均匀设计表和小边经验公式产生初始种群，使TSP应用遗传算法能求出更优更快解，详尽说明见paper.doc。-uniform design combining a small side table and have empirical formula initial population, TSP application of genetic algorithms can be obtained faster and better solutions, detailed description of paper.doc.

自已写的Adaboost使用Haalike feature，去Detection-Adaboost use their own written Haalike feature, to Detection