人工神经网络bp算法的matlab实现，对bp算法的matlab实现进行了简要的试探...

一个高人的VC实现NN的程序。很不错。先运行Matrixbase.dsw,again arithmetic.dsw, next nnbp.dsw,final neuralNetWork.dsw.-an expert in VC NN procedures. Very good. First running Matrixbase.dsw, again arithmetic.dsw. next nnbp.dsw, final neuralNetWork.dsw.

用于函数逼近的BP算法程序,matlab源码-function approximation for the BP algorithm procedures, Matlab FOSS

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows : for each one network input, only part of adjusting the weights, weight vector closer to or further from the input vector, the adjustment process is competitive learning. With the continuous process of learning, all the input vector in the importation of vector space separate form their own representatives importation of a type of space, and this is a Kohonen network of automatic clustering functions. Please decompress after readme according to instructions.

基于matlab语言的程序设计,包括人工免疫算法 遗传算法程序比较.用于tsp问题研究-based on the Matlab programming language. including artificial immune algorithm Genetic Algorithm comparison. Research for tsp

遗传算法在TSP中的应用的原代码， 具体的代码见内。-Genetic algorithm source code applies in TSP with detailed code

数据挖掘概念和技术，电子书，英文版，300多页-Data mining concepts and techniques

使用labview编写的神经网络程序，多输入多数出。-prepared by the use of PC neural network programming, multi-input from the majority.

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.

也是学习别人的程序，不过他没有把核心代码给我-also learn from others procedures, but he did not take me to the core code