"artificial neural network" contains practical network model, learning...

这是对BP神经网络模型与学习算法的一个概述，也就是基础的希望对大家有用。-This is a model of BP neural network learning algorithm and an overview of the foundation is useful for all of us hope.

把libsvm包在一起，只要能读入矩阵转换成所需的格式libsvm就可以运行了

本算法中采取了种群规模为100，同时采用轮盘赌来获取种群。开始使用随机的方法得到初始的种群-the algorithm adopted a population size of 100, using roulette to access populations. Using the stochastic method initial Stocks

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

采用“提前停止”方法提高 BP 网络的推广能力。对于和例 2相同的问题，在本例中我们将采用训练函数 traingdx -The use of

用RBF实现的目标图象识别程序,C实现,可以应用于DSP系统.-RBF realize the goal of using the image recognition program, C realize, can be used in DSP systems.

条码技术-barcode technology

人工智能中九宫问题的实现，初始数据随机生成，最终状态随机生成，并用图形界面显示搜索过程-AI JiuGongTu the realization of the initial data randomly generated, the final state of random generation, and using a graphical interface shows search process

经典BP算法的源程序，对人工神经网络中的bp有一定的帮助作用-BP algorithm is the classic source of artificial neural networks have certainly bp helpful

一个运用改良的遗传算法来解决旅行商问题的程序-an improved use of genetic algorithms to solve the traveling salesman problem procedures