支持向量机的matlab代码。一个很好的参考源代码

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计-Neural Network――BP

模拟退火算法（解98数学建模灾情巡视问题）-Simulated annealing algorithm (solution of 98 to inspect the disaster mathematical modeling issues)

匈牙利命名法则，关于在编程中变量的命名的一个很好的参考！-Hungary naming rules，a good reference of naming variables in the programming！

运用MATLAB语言编写的连续型霍普菲尔德网络-using MATLAB prepared by the continuous Hopfield network

机器人路径规划演示平台，自主移动的智能机器人演示程序源代码，可以实现机器人壁障功能-Demonstration platform for robot path planning, intelligent autonomous mobile robot demo program source code, you can realize robot barrier function

最棒的三大计算机视觉、图像图形函数库之一，C语言版本，支持标准C-best of the three major computer vision, image and graphics functions, one C-language version supports standard C

EM algorithm with a Rauch-Tung-Striebel smoother and an M step,内有说明-EM algorithm with a Rauch-Tung-Striebel"s moother and an M step, which is described

two Matlab functions for initializing and training a recurrent neural network -two Matlab functions for initializing and training a recurrent neural network

三篇蚁群优化算法的硕士论文，介绍详细，解释清楚，是初学者的入门指导。-3 Ant Colony Optimization Algorithm for master

落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌出量的动态预测提供可靠的基础数据,为采掘工作面落煤残存瓦斯量的确定提出了一种全新的方法和思路。-charged residual coal gas is to determine the volume of mining gas emission rate forecast an important link, which directly affect mining gas emission rate forecast accuracy, and with coal metamorphism, loading coal particle size, the original gas content, exposure time and other factors nonlinear relationship. Artificial neural networks have expressed arbitrary nonlinear relationships and the ability to solve complex nonlinear, time-varying uncertainty and the new ideas and new approaches. Based on this, the author of adaptive neural network loading coal residual gas production forecast model, and a combination of different loading coal mine gas remnants of the actual test results of research