neural network training procedures used for RBF network weights training. good u...

运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.

petri网络的演示程序，本程序是计算机网络课程中涉及到的petri网络的演示，输入预先的转换规则，搜索可以击发的状态，设定次数进行状态转换-Petri Network Demonstration Program, the process is computer network courses related to the petri network demonstration, the importation of pre-conversion rules can search the state while working on the creation of a state for the number change

《神经网络模式识别及其实现》源程序-"pattern recognition and neural network to achieve" source

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

用c语言编写的粒子群算法程序，下载后可以直接使用-With the c language of the particle swarm optimization program, download can be used directly

利用C＋＋语言开发的BP算法，并将其封装在类中，用户可以自己设定参数，实现对BP网络的训练。-use C++ language BP algorithm, which is encapsulated in class, users can set their own parameters to achieve BP network training.

网上的大部分BP实现曲线拟合都使用MATLAB库函数，这不利于读者理解BP神经网络的算法。本文用C源码实现MATLAB库函数.-BP to achieve most of the Internet curve fitting using MATLAB library function, this does not help readers understand the BP neural network algorithm. In this paper, the realization of C-source MATLAB library functions.

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人工神经元的bp算法，可用于函数拟合，时间序列数据的预测，目前应用非常广泛-artificial neurons bp algorithm can be used to function fitting, time series data estimation, is widely used

开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.