搜索资源列表
BP
- BP神经网络，对学习神经网会有用。BP神经网络，对学习神经网会有用-BP neural network, neural network learning will be useful. BP neural network, neural network learning will be useful for
38896
- 用C语言写的 BP 神经网络的源代码，效率很高，且有训练的功能，望交流学习-Written in C language with BP neural network source code, efficient, and there is functional training, hope the exchange of learning
33
- 通过神经网络先通过对数字的学习可以识别数字。包括1-9的数字-First pass through the neural network of digital learning to identify the figures. Including the figures 1-9
bp
- bp算法实现，运行正常。人工神经网络中BP算法实现了多层反馈式学习过程-bp algorithm, operating normally. BP artificial neural network algorithms in multi-layer feedback-based learning process
MatlabANN
- Matlab神经网络ANN学习的应用指南文件。-Matlab neural network ANN to learn the application of guidance documents.
yongfenjishenjingwangluoxuexijiqirendedonglixueted
- 摘要：给出了解决机器人控制问题一种神经网络方法。使用一个分级神经网络(NN)结构学习刚体机器人动力学特点。对于一般类别的机械手，使用前训练一系列的三层前馈网络模块，然后把这些基函数实时地用于第四层。使用线性控制原理，辅以非线性补偿控制机械手，使学得的机械手动力学知识创建一个在整个工程中高速控制机械手的控制器。模拟结果表明控制器的性能得到了大大提高。-Abstract: This paper presents a solution to the issue of robot control neu
bpsuanfanet
- 人工神经网络BP算法，希望可以帮助大家学习，简单的小程序，里面有readme-BP artificial neural network algorithm, hope can help them to learn, simple procedures, there are readme
ANN_BP_algorithm
- 人工神经网络中的BP学习算法，用c语言实现-Artificial neural network BP learning algorithm, using c language
ann
- 人工神经网络资料，，学习参考资料，学习作业。-Artificial neural network information, learning reference, learning operation.
cpns
- 神经网络中的对象传播神经网络CPN的学习算法-Neural network objects CPN-propagation neural network learning algorithm
textureclassfication
- 提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果. -Based on the function connected perceptron neural network tex
bp
- 修改以后的BP人工神经网络，可以有效地避开局部最小点，收敛速度有点慢，可作为交流学习-Modified after the BP artificial neural network, can effectively avoid the local minimum points, the convergence rate a bit slow, can be used as the exchange of learning
PatternClassificationenglish
- 模式识别经典书籍。清晰地阐明了模式识别的经典方法和新方法，包括神经网络，随机方法，遗传算法以及机器学习理论。-Pattern Recognition classic books. Spell out the classic pattern recognition methods and new methods, including neural networks, stochastic methods, genetic algorithms and machine learning theory
grnnforexample
- 广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
inmatlabneuralnetworktool
- 本文介绍了matlab中的神经网络工具，对学习MATLAb很有意义！-In this paper, the neural network matlab tool for studying MATLAB meaningful!
vehicle
- 这是一个车辆号码识别的vc源码，对于学习神经网络的同学有很大的参考价值。-This is a vehicle identification number of vc source for studying neural networks have a lot of classmates reference value.
NeuralNetworkandMATLAB7
- 一本很好学习神经网络和其MATLAB实现的书籍.-A very good study MATLAB neural network and its implementation books.
SVM_toolbox01
- 支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
nnc
- 用Ｃ语言实现的神经网络，不错的学习资料,希望对大家有帮助-NN using C
mohupid
- 一些有关pid的优化算法，如模糊PID，神经网络PID，这些文献中的实例很值得大家学习-Some of the pid of the optimization algorithm, such as fuzzy PID, neural network PID, these examples of literature are worth studying U.S.