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...

雷达数据预测，包括航迹仿真、卡尔曼滤波等 -radar data projections, including track simulation, Kalman filtering

详细介绍了有关人工智能软件编写的理论和实务-details of the artificial intelligence software prepared by the theory and practice

基于Viusal C++开发的遗传算法源程序，在VC6.0环境下调试通过。-Based on Viusal C++ Developed genetic algorithm source code in VC6.0 environment debug through.

一个vc开发的支持向量机程序，对于初学者很有用．共享以下．-vc development of a support vector machine procedures, very useful for beginners. Sharing the following.

使用Visual C++ 2003编写的遗传算法库，具有详细的说明文档，使用接口函数传入相关适应度函数与基因个数、迭代次数相关信息，进行目标优化，使用类模板的形式支持函数并行化-Using Visual C++ 2003 prepared by the genetic algorithm library, a detailed description of the document, use the interface function is passed the fitness function associated with the gene number, number of iterations relevant information to carry out objective optimization, the use of class template in the form of support function parallel

在vc上运行的回答集求解器源代码，能够供在人工智能上学习的学习者使用-Running in vc answer set solver source code, for use in artificial intelligence to learn the use of the learners

基于机器学习的自动逻辑推理机。本程序用归结反演策略实现了命题逻辑系统的自动推理。把要解决的问题作为一个要证明的命题，其目标公式被否定并化成子句形，然后添加到命题公式集中去,把消解反演系统应用于联合集，并推导出一个空子句(NIL)，产生一个矛盾。-based on the automatic machine learning logical reasoning machine. The procedures used attributed inversion strategy to achieve the propositional logic of automatic reasoning. Put the problem to be solved as a proposition to prove, with the goal being negated formula and shape into a phrase and then added to the Proposition formula to concentrate, digestion system for joint inversion sets and derived an empty phrase (NIL), resulting in a contradiction.

Bayes网络工具箱，可以用作分类或者拟和，希望对大家有用-Bayes network toolbox, can be used as a classification or proposed and, in the hope that useful to everybody

实现马尔可夫决策过程模型的算法，该研究方向是当前热门的研究领域。-Markov Decision Process Model realize the algorithm, the research direction is currently a hot research field.

人工神经网络技术在智能分布式检索系统中应用- The artificial nerve network technology applies in the intelligent distributional retrieval system