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神经网络用于牌照识别-neural network license for identification

tsp问题，是一个很典型的NP完全问题，该程序用了遗传―退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing

神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods

人工智能小模型，货郎担问题，一个简单的 实例-Artificial intelligence model:a simple instance of goods selling burden problem.

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

该程序比较人性化，有个友好界面，能加载图像，并根据图像训练Hopfield神经网络，你也可以通过添加噪声给图像，以判断它的识别率。-Comparison of the program user-friendly, has a friendly interface that can load images, and in accordance with the training images Hopfield neural network, you can also add noise to images, to determine its recognition rate.

交流 模糊控制 交流 模糊控制-Exchange of the exchange of fuzzy control fuzzy control

用VC做的一个挖掘系统的关联规则算法。COM组件的源代码，已应用到实际系统中。-Utilising VC to make a program which is a arithmetic of affiliated enterprise of dig system. COM components have been applied the system.

神经网络训练算法,很快 很简单 很适用 能快速用到实验环境中去-Neural network training algorithm, is applicable to very quickly is very simple to quickly use the experimental environment

隐马尔科夫模型工具箱windows可执行版本，可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification