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BPNNprogram
- 这是反向传播算法的C++程序,对于研究BPNN的人来说,具有很好的参考价值-This is the back-propagation algorithm C program for studying the BPNN people, have a good reference value
BPNNnumber
- 这是俺一个同学用反向传播算法编写的数字识别软件,识别率还是不错的-students with a back-propagation algorithm figures prepared by the recognition software to identify the rate is still pretty good
An_Introduction_to_Neural_Networks_[1996]
- Introduction to neural networks, Back Propagation networks, Recurrent networks, Self Oganising networks, Reinforcement learning. Robot Control, Vision systems. Hardware and software Implementaionts.
backpropagationalgorithm
- back propagation algorithm
NEURAL+NETWORK
- bp神经网络算法是解决最优化问题的先进算法之一,本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法(back-propagation简称BP算法)。BP算法存在局部极小点,收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算,进而训练网络。
waveletnetwork
- 小波神经网络程序基于反向传播训练-wavelet-based neural network program back propagation training
neural-network-back-propagation-algorithm
- 每一个训练范例在网络中经过两遍传递计算:一遍向前传播计算,从输入层开始,传递各层并经过处理后,产生一个输出,并得到一个该实际输出和所所需输出之差的差错矢量;一遍向反向传播计算,从输出层至输入层,利用差错矢量对权值进行逐层修改。BP算法有很强的数学基础,戏剧性地扩展了神经网络的使用范围,产生了许多应用成功的实例,对神经网络研究的再次兴起过很大作用。
bpexamples
- 使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network
mybp(Jo)
- 我做的一个用matlab程序编写的BP算法,是是我毕设的一部分,程序运行绝对没有问题,欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.
bp算法源程序
- 反向传播(back-propagation,BP)算法是一种计算单个权值变化引起网络性能变化值的较为简单的方法。由于BP算法过程包含从输出节点开始,反向地向第一隐含层(即最接近输入层的隐含层)传播由总误差引起的权值修正,所以称为\"反向传播\"。-BP (back-propagation BP) algorithm is a calculation of the weights of individual changes in network performance changes in the
bp042796
- bp神经网络,反向传播神经网络!感觉还不错的-bp neural networks, back-propagation neural network! Feeling pretty good
bpnn133u
- 一个反向传播算法的的原程序!值得一看,大家自己看看!-a back-propagation algorithm of the original program! An eye-catcher, we see for himself!
Fortran_bp
- BP(Back Propagation)网络是1986年由Rumelhart和McCelland为首的科学家小组提出,是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。-
Load_flow_BPA
- I HAVE UPLOADED A MATLAB PROGRAM FOR LOAD FLOWS USING BACK PROPAGATION ALGORITHM
bp_fortran1
- BP神经网络FORTRAN源代码。 BP算法由两部分组成:信息的正向传递与误差的反向传播。在正向传播过程中,输入信息从输入经隐含层逐层计算传向输出层,每一层神经元的状态只影响下一层神经元的状态。如果在输出层没有得到期望的输出,则计算输出层的误差变化值,然后转向反向传播,通过网络将误差信号沿原来的连接通路反传过来修改各层神经元的权值直至达到期望目标。 -BP neural network FORTRAN source code. BP algorithm consists of two p
face-recognition-by-bp-algorithm
- 用BP算法实现人脸识别,其中包含了c++,和记事本类型的源代码-use Back Propagation algorithm to realize face recognition
BPN
- Backpropagation Network Time-Series Forecasting 源码, 经典的BPN人工神经网络例子源码-Backpropagation Network Time-Series Forecasting source, the classic example of artificial neural network BPN source
annpdf
- 人工神经网络vbp算法 人工神经网络电子讲稿-Artificial neural network artificial neural network algorithm vbp electronic scr ipt
11
- 反向传播算法也称BP算法。由于这种算法在本质上是一种神经网络学习的数学模型,所以,有时也称为BP模型。-Back-propagation algorithm, also known as BP algorithm. As a result of this algorithm is essentially a neural network to learn the mathematical model, therefore, sometimes referred to as BP model.
batbp
- Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs and an initial network % [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the % network with backpropagation. % % The activatio