不确定规划 遗传算法 Multilevel Programming算法程序

机器人足球的程序,机器人足球大赛的有关源代码-robot soccer procedures, the robot soccer competition of the source code

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!

灰度变换的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-gray transform examples procedures, which the CDib categories can be directly applied to other image processing.

遗传算法神经网络，遗传算法神经网络遗传算法神经网络-genetic algorithm neural networks, genetic algorithms neural networks, genetic algorithm, neural network

研究机器人控制不可多得资料，强烈推荐-robot control study rare, strongly recommended!

Counterpropagation Network Vision 源码, 经典的CPN人工神经网络例子源码-Counterpropagation Network Vision Source, a classic example of artificial neural network CPN-source

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

基于倒谱特征的带噪语音端点检测.rar格式为ｖｉｐ-based Cepstral Noisy voice endpoint detection. Rar format vip

机器人接口程序框架，需要搞机器人的同志不用自己搞框架了-Robot interface program framework, the need to engage in robot comrades do not have to engage in the framework of the

pso智能算法程序，结合这个程序会对算法有更深的认识-intelligent algorithm PSO procedures, combined with this procedure will have a deeper understanding of algorithm