BP神经网络的C语言实现，对理解神经网络很有帮助。

Matlab遗传算法工具箱函数及应用实例 Matlab遗传算法工具箱函数及应用实例-Matlab genetic algorithm toolbox function and application of genetic algorithm Matlab toolbox function and application example

这是用prolog写的几个程序：程序１是一个旅行社关系系统，程序２是一个家族关系系统，程序３是一个成绩管理系统-This is prolog written several programs : a procedure is a travel agency relations systems, procedures 2 is a family relationship systems, procedures 3 is a performance management system

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.

该程序介绍了一种简单的遗传算法应用程序，采用matlab高效编程，适合于二进制编码的典型应用。-The program introduced a simple application of genetic algorithm using matlab efficient programming, suitable for the typical application binary code.

根据 trilearn_base_sources-3.3 (一般称做UVA底层)修改的robocup球队代码,对某些模块进行了详细的注释(例如BasicPlayer,WorldMode模块),并且进行了一些基本的动作添加的示范(增加了射门动作,四处看动作,截球动作和贴身带球动作),示范了简单的高层决策修改和队型的修改,书写了一套完整的守门员高层代码,希望对大家有帮助-According to trilearn_base_sources-3.3 (generally known as UVA bottom) to amend the code of RoboCup teams, for certain modules in detail the Notes (such as BasicPlayer, WorldMode module), and carried out some basic moves to add a model (an increase of shooting action , look around action, action and cut the ball moves the ball next to the skin), demonstrated a simple modification of the high-level decision-making and team-based changes, write a complete set of high-level code goalkeeper, in the hope that everyone has to help

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

遗传算法小程序。-GA small programs.

自组织神经网络用于图像分割matlab实现-self-organizing neural networks for image segmentation achieve Matlab

神经网络BP算法-neural network algorithm

使用遗传算法求解通信网链路容量和流量联合优化分配问题!-Communications network using genetic algorithm for solving the joint optimization of link capacity and flow allocation problem!