一个用c++builder实现的神经网络算法的程序

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

只要输入相关参数就可以得到结果，最值遗传算法，含源码-Just enter the relevant parameters can be the result, the most value genetic algorithm, with source

本程序可以对输入.avi 序列中的车辆数进行计算，准确性非常高，是一个值得参考的代码:)-This procedure can be input. Avi sequence to calculate the number of vehicles, accuracy is very high, is a reference to the code:)

一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation

产品设计时间智能预测方法的研究，值得借鉴一下-product design time intelligent prediction method of research, worth learning about

face recognition test source code

用遗传算法解决八皇后问题！ 有比较详细的注释！ 还有有关遗传算法理论的描述。 -Using genetic algorithms to solve the issue of the eight Queen

Fuzzy Rule Base Implementation

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

Matlab中的GA程序-Matlab GA procedures