人工智能的一种典型的启发式搜索算法，是一种最好优先的算法，但要加上一些约束条件。...

matlab的GA工具箱与vc混和实现遗传算法的源码-Matlab Toolbox GA vc mixed with Genetic Algorithm FOSS

蚂蚁算法的VC代码源，模拟蚂蚁觅食的行走途径，解决最优路径问题。-Ant Algorithm VC source code to simulate the foraging ants to walk way to solve the optimal routing problem.

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

利用遗传算法搜索函数最优解的c++源程序 -use of genetic algorithm search function to the optimum solution c source

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

Adaptive Resonance Theory Brain Modeling 人工智能人工神经网络源码-Adaptive Resonance Theory Brain Modeling artificial neural network artificial intelligence source

著名的神经网络工具箱，功能十分强大，里面包含了数十种神经网络算法的实例。-Well-known neural network toolbox, function very strong, which contains dozens of examples of neural network algorithm.

股票交易系统自动根据指标进行相关的交易系统-Automatic stock trading system in accordance with indicators related to the trading system

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

一个用C++实现的bp网络算法程序，供大家参考-a C realized bp network algorithm, for your reference