Multi

一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手-A good use of adaptive artificial neural network model library, including the ADALINE/RBF/Multi-layer and so on, the other containing the Demo, even易上手

Using Simulated annealing to solve TSP

本程序利用遗传算法实现PID参数的优化问题.-This procedure using genetic algorithm optimization of PID parameters.

命题逻辑中的推理规则可以用来证明一个已经表示成命题公式的定理，但它还不便于机械化实施。因为其中的各条规则都未指明在推导的什麽步骤上应该引入什麽前提或中间结论，这些还有赖于人的经验技巧和才能。1960年王浩提出的算法，可以完全脱离人的经验和技巧，机械地构造每一步推导，证明一个命题逻辑定理的成立。 -Propositional logic in the inference rule can be used to prove that a propositional formula has been expressed as the theorem, but it is not easy to implement mechanization. Because the rules did not specify what steps in the derivation of what should be the introduction of the premise or intermediate conclusions, which also depends on the person s experience of the skills and talent. Wang Hao in 1960 proposed algorithm can be completely divorced from the person s experience and skills, a mechanical structure is derived for each step to prove that a propositional logic theorem establishment.

人工智能的经典八皇后问题,这个算法是a*算法.利用这个算法可以解决八数码,八皇后问题等 -artificial intelligence Queen"s classic 8, the algorithm is a* algorithm. Use of this algorithm can solve eight digital, 8 Queen"s problems

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

一个pso的演示程序,非常经典,对初学者来说是非常不错的学习资料!-A demo program PSO, very classic, for beginners is a very good learning materials!

模糊K近邻分类器，模式识别和机器学习经常要使用的一个分类器-K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier

人工神经网络matlab编程，BP网络实例 入境旅游人数的预测结果对于旅游管理部门和政府部门有着重要的参考意义,寻求科学合理的预测模型是保障预测结果准确可靠的关键。根据我国入境旅游人数的实际情况,建立由一个输入层、一个隐含层、一个输出层构成的三层BP 网络模型-ANN Matlab programming, BP examples tourist arrivals in the forecast results for the tourism management and government sectors have important reference value, search for a scientific and rational prediction model is to ensure accurate and reliable prediction of the key. According to China"s tourist arrivals in the actual situation, and establish an input layer, a hidden layer, an output layer consisting of a three-tier network model BP

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.