停车诱导系统中车位预测模型的研究 摘 要 研究城市停车诱导系统的停车车位占有率预测问题。首先提出墓于B P神经网络的车位占有预测模型， 同时将自适应 学...

启发式搜索见cpp1.C文件，vc6.0环境运行实现-heuristic search cpp1.C see documents, achieving operating environment vc6.0

nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve sp

是MATLAB的RBF神经网络建模程序，比较有参考价值阿，需要的就下吧-MATLAB is the RBF neural network modeling procedures, more A reference value, we need it on the next

粒子群算法的vb源程序，可以自定义算法参数，实现对6个非约束性测试函数极小值的全局优化，动态显示粒子的移动。低维下，优化效果很好。直接解压，无须密码。请多指正。-PSO algorithm vb source, the algorithm can define parameters to achieve the six non-binding function tests minimum of global optimization, dynamic display particle movement. Low-dimensional, optimize the results very good. Direct decompression without passwords. Please correct.

Matlab implementation of ID3 and NaiveBayes classifier. It also includes example dataset as well.

XCS是一种新的人工智能算法

基于Hopfield人工神经网路的室内全域路径优化。主要是利用Hopfield求解TSP的方法。用于课程设计。-based on artificial neural network Hopfield indoor entire domain path optimization. Hopfield is mainly used for TSP method. For course design.

有关粒子群算法的求解tsp的c++程序。-the PSO for the c tsp procedures.

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.

经典的BPN人工神经网络例子源码,可用于函数逼近，预测等方面-classic example of artificial neural network source, function approximation can be used to forecast etc.