neural networks and genetic algorithms combine

模式识别中的几个经典算法，有详细的实现过程，配有实验报告 -Several classic pattern recognition algorithms, has detailed the process to achieve with the experimental report

MIT大学的机器学习课程讲稿,很经典的!包括分类,回归,判别式学习,产生式学习,SVM等,基本上包括常用的机器学习算法-MIT University of speech machine learning curriculum, it is classic! Including classification, regression, discriminant study, resulting in learning, SVM, etc., basically including the commonly used machine learning algorithms

快速度训练感知机算法，针对线性不可分情况，加快了其收敛速度。-Fast-degree training perceptron algorithm for linear indivisible and speed up its convergence speed.

用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.

用BP算法实现数字识别功能，可以显示状态变化图-BP algorithm digital identification function can demonstrate that changes in state plans

介绍了遗传算法的基本原理和求解流程, 详细阐述了Matlab 遗传算法工具箱的使用方法, 并通过使用遗传算法工具箱对一个典型的函数优化问题进行求解, 验证了该工具箱在解决函数优化问题上的有效性和实用性。-Introduce a genetic algorithm to solve the basic principle and flow in detail Matlab genetic algorithm toolbox to use, and by using genetic algorithm toolbox for a typical function optimization problems to solve, the validity of the toolbox in solving function optimization problems on the effectiveness and practicality.

用MATLAB语言编写。三十三座城市的蚂蚁算法。解决TSP问题。-Used MATLAB language. 33 cities in the ant algorithm. Solve the TSP problem.

经典的SOM人工神经网络例子源码-classic example ANN FOSS

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.

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.