资源列表
liantongxinchou
- 信息论编码概论,主要介绍信息的一般概念和分类,信息论的起源和发展。-Information encoding content, and briefly introduces the summary information content, information of the concept, classification and development. Very very very good、
Report-and-bp-code
- 程序是关于BP神经网络的C语言实现,加深对BP神经网络的理解-C language implementation of the BP neural network
FastICA_25
- 盲源分析,信号识别,在matlab语言中使用。-Blind Source analysis, signal identification, the use of language in matlab.
newfont
- C#实现PSO..找不到...凑字数.凑字数-PSO
GA_BPNN.C
- 遗传算法优化神经网络GA_NN.C语言,同步进化BP网络的拓扑结构和连接权值,避免了网络结构的选择和设计,非常实用。-Genetic algorithm optimization neural network GA_NN.C language, synchronization topology and evolution BP network connection weights, avoiding the selection and design of the network structur
ver
- 实时UML及其在月球车实时软件开发中的应用-Real-time UML and its real-time software development in the lunar rover
Hopfield
- 统计Hopfield网运行算法经过调试可以运行-Hopfield
compute_2_2
- 三层的神经网络实现异或算法,学习神经网络的开始,初学者可以-Three different neural networks or algorithms, neural networks begin to learn, beginners can take a look
374
- 神经网络算法源程序,如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE,同时提供针对不同算法的演示源程序。-neural network algorithm source, such as SOM, Hopfield, CPN, 7.82, BOLTZMAN, ART, ADALINE, while providing for different algorithms demo source.
neuralnetwork
- 本程序是一个关于神经网络算法的源程序,可以让大家加深理解,掌握神经网络的使用方法,希望对大家有所帮助。-This procedure is a neural network algorithm on the source, so that everyone can better understand and master the use of neural networks, and I hope to help all of you.
gaussianprocess4Clas
- 高斯过程是一种非参数化的学习方法,它可以很自然的用于regression,也可以用于classification。本程序用高斯过程实现分类!-Gaussian process is a non - parametric method of learning, it is very natural for regression. can also be used for classification. The procedures used to achieve classification G
UnknownEnvironmentBasedonFuzzyNeural
- :为提高移动机器人在未知环境下避障行为的成功率,通过对障碍物信息的输人,从控制输出数据中找出避 障行为模式,生成相应的模糊逻辑控制规则,并把模糊控制算法引入到神经网络中,使得模糊控制器规则的在线精 度和神经网络的学习速度均有较大的提高,使移动机器人具有较为迅速的反应能力,实现机器人连续、快速地避障 并最终到达目标.系统仿真证明了模糊神经网络在移动机器人路径选择中的智能性.-To enable the mobile robot in unknown environment obstac
