bp神经网络,反向传播神经网络！感觉还不错的

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

神经网络程序代码，小小初学，不知甚多，望多多指教。-Neural network program code, little beginner, I do not know a lot, hope the exhibitions.

模拟蜜蜂采蜜的具有人工生命特性的VB程序 可以作为学习人工生命的一个不错的入门-simulation honey bees with artificial life characteristics of VB program can be used as learning artificial life a good entry

图像检测模板匹配的Visual C++代码-Image Detection template matching Visual C code

bp神经网络对短期电力负荷的预测，一周预测一天，输入是归一过的数据。-bp neural network for short-term load forecast, the forecast one day a week, enter the data have been normalized.

收集的关于遗传算法的模糊搜索的ppt资料，有兴趣的可以研究一下-Collected on the genetic algorithm ppt fuzzy search information, interested can look at

模式识别分类 内有聚类算法.分段线性算法-Categorization of pattern recongnization includes clustering algorithm and segmentation linear algorithm.

machine pulse control

一个人工神经网络BP算法源代码与演示程序-an artificial neural network algorithm source code and demonstration program

加拿大一大学开发的Fuzzy Clips的全套程序附带使用说明文件，可用于模糊推理机的开发。-Canada, developed at the University of Fuzzy Clips a complete program that comes with the use of documentation, can be used for fuzzy inference engine development.