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BackProp算法源程序
- 开发环境:C语言 简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。 -development environments : C language Brief Descr iption : BackProp algorithm : BP is the back-propagation network (Back
bpxor
- BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping
mgx
- 这是人工神经网络中有关前向人工神经网络敏感性研究的具体介绍，希望给同类爱好者一些启示与帮助。-This is the artificial neural network to the former ANN sensitivity of the specific briefing, Similar lovers hope to some inspiration and help.
lamdaBP
- 三层前向神经网络的权值训练方法 变步长的bp法
ga_pulse
- 双峰和多峰函数最大值的遗传算法求解 采用前向网络
ann
- 一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手
BP_Netural_Network_Example
- BP神经网络的设计前向型神经网络的实例，基于Matlab环境。
rbfn
- 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
hmm.zip
- 隐马尔可夫链模型和例程（包括前向、后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数运算程序）,Introduction to Hiden Markov Model and Example Codes
NNCONTROLINGANDBP
- 神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important
33
- BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is
BP
- 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization
gasrc
- 专家系统，实现动物识别的人工智能系统，前向后向匹配-Expert system, artificial intelligence systems to identify animals
matlabnn
- 前向神经网络源代码，包括传感器网络，BP网络、径向基网络等例子-nn code
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- 神经网络与Matlab，利用BP学习规则训练前向网络，使其完成函数逼近、矢量分类和模式识别，选择训练参数， 并指示如何进行训练-Neural network and Matlab, using BP learning rule before training the network to complete its function approximation, vector classification and pattern recognition, to select the trainin
StockAnalysis
- 基于前向神经网络和Matlab的Stock+Analysis设计与实现-Based on Matlab-forward neural networks and the Stock+ Analysis Design and Implementation of
bp2
- 利用粒子群PSO算法，设计一个使得前向神经网络的训练得到最优问题。-The use of particle swarm PSO algorithm, designed to allow a feed-forward neural network training problems to be optimal.
Neural-Networks-at-your-Fingertips
- 详细说明：几个神经网络算法的例程，包括前向adaline, 共振art1, boltzman机, hopfield 网络, 自组织som 等等.-Detailed Descr iption: The number of neural network algorithm routines, including the former to the adaline, resonance art1, boltzman machine, hopfield networks, self-organizing
bp_0610
- 这是一个利用前向反馈网络，即BP网络进行一个二输入一输出的函数逼近的仿真，希望能对大家有用-This is a use of the former to the feedback network, that is, a BP network is a function of two input-output simulation approach, hoping it would be useful
Neural_Control
- 首先介绍人工神经网络的基本概念和ANN 的特性，以及神经网络的学习方法。然后讲授典型的前向神经网络、反馈神经网络的原理、结构、基本算法，给出了BP 网络的算法改进。最后介绍了神经网络PID 控制。-First introduces the basic concepts of artificial neural networks and the characteristics of ANN, and the neural network learning. And then teach the t