Description: 这是我参考了n(n>=5,^_^)篇BP神经网优化方法的论文写出的BP神经网源代码，使用了批处理训练方法，带动量项、学习速率的自适应调整、仅对学习精度没有达到指定要求的模式训练，并且训练精度逐步加大，通过这种方法，极大地加快了训练速度；另外，对于0模式和1模式数目相差很大(5-6倍)都能达到很高的学习精度。-This is my reference to the n (NGT; Chapter 5 = ,^_^) BP neural network optimization method to write the thesis of BP neural network source code, use the batch method of training, the volume driven, adaptive learning rate adjustment, not only learning accuracy requirements specified the model training, and training gradually increased accuracy, this method has greatly accelerated the pace of training; In addition, the 0 mode and a model number vary greatly (5-6 times) to achieve high accuracy of the study. Platform: |
Size: 4096 |
Author:王宏志 |
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Description: BP神经网络算法的matlab代码，本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。希望有用-BP neural network algorithm Matlab code, the procedures under the trained network file ANN.mat anticipating new data files, be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful Platform: |
Size: 15360 |
Author:杨力 |
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Description: 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。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network. Platform: |
Size: 19456 |
Author:刘慧 |
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Description: 神经网络bp算法源代码，各个部分的包括函数逼近，函数定义等的功能-Bp neural network algorithm source code, the various parts, including function approximation, function definition function Platform: |
Size: 16384 |
Author:ye |
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Description: 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。
-Each training example in the network passing through the calculation twice: once to move the spread of computing, from the beginning of input layer, transmission floors and processed to produce an output, and a the actual output and the difference between the desired output error vector again to reverse the spread of computing, from the output layer to the input layer, using error vector values of the right to amend the layers. BP algorithm has a strong mathematical foundation, dramatically expanded the use of neural networks, resulting in a number of successful examples of application of neural network research have a significant role in the rise once again. Platform: |
Size: 1024 |
Author:军军 |
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Description: 利用MATLAB构建的三层人工神经网络，网络结构清楚，具有一定参考价值-The use of MATLAB built three artificial neural network, the network structure is clear and has a certain reference value Platform: |
Size: 13312 |
Author:zhangxi |
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Description: 这是一个采用遗传算法优化bp神经网络权值阈值的MATLAB程序-This is a genetic algorithm to optimize neural network weights bp threshold MATLAB program Platform: |
Size: 34816 |
Author:chengfei |
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Description: BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system Platform: |
Size: 156672 |
Author:free1828 |
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Description: 神经网络BP算法的实现和两个小例子,其中包括两个.m文件和一个说明文档-Implementation of neural network BP algorithm and two small examples, including two. M file and a documentation Platform: |
Size: 94208 |
Author:hujuan123 |
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Description: 神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。-4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number. Platform: |
Size: 1024 |
Author:王越 |
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Description: 本文在了解神经元和BP算法的基础上，使用MATLAB软件作为开发工具建立BP神经网络模型，重点研究了BP神经网络结构设计的原理和方法，包括影响BP神经网络训练能力的因素，以及这些因素如何影响BP神经网络的性能；改变不同参量，对比实验数据，总结各个参量对BP神经网络的影响。从而寻找最佳的BP神经网络模型。本文还对一些其他的神经网络算法进行了总结和介绍。- In this paper , based on understanding of the neuronal model and learning BP algorithm. Making use of Matlab software development tools as the establishment of a three-tier BP neural network model used in the project.Morever, Focus on the BP neural network architecture design principles and methods including the impact of BP neural network training ability of factors, and how these factors affect BP neural network performance changes in different parameters, as compared with the experimental data, summing up the various parameters of BP neural network effects. In order to find the best BP neural network model.This paper also introduce a number of other neural network structure and Algorithm. Platform: |
Size: 387072 |
Author:张聪 |
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