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Description: MATLAB程序编写的神经网络ELMAN算法，实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
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Size: 937 |
Author: michael |
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Description: 我编写的改进的elman神经网络应用程序，第一次上传-prepared by the improved elman neural network applications, the first upload
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Size: 1024 |
Author: 李勇 |
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Description: MATLAB程序编写的神经网络ELMAN算法，实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
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Size: 1024 |
Author: michael |
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Description: 训练Elman recurrent network-Elman recurrent network training
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Size: 2048 |
Author: juanjuan |
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Description: elman神经网络的matlab程序,运算时间短,程序简单-Elman neural network matlab procedures, computing time is short, simple procedures
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Size: 1024 |
Author: 小伟 |
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Description: 上课时老师用的源代码，据说是他的研究生编写的用于模拟ELMAN网-Classroom teachers to use the source code, it is said that his post-graduate prepared ELMAN network used to simulate
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Size: 1024 |
Author: Max |
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Description: 将pca和elman神经网络结合起来，找到了主要的变量-The PCA and the Elman neural network to combine to find the main variables
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Size: 1024 |
Author: 王娆芬 |
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Description: Program for training and testing the Elman Recurrent Neural Network model when used to predict
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Size: 1024 |
Author: Abd Kadir |
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Description: 基于Elman神经网络的预测程序，可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system
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Size: 1024 |
Author: liu |
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Description: elman神经网络的源代码，包括训练和仿真-elman neural network source code, including the training and simulation
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Size: 1024 |
Author: 周妍 |
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Description: elman神经网络用于峰值检测 三角波 矩形波 方波调制信号 -elman peak detector neural network for rectangular-wave square wave triangle wave modulation signal
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Size: 1024 |
Author: guojing |
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Description: 详细介绍了ELMAN这种神经网络的构成以及它比其他神经网络的好处，以及其应用的方法和方式-ELMAN described in detail the composition of such a neural network and its advantages over other neural networks, as well as ways and means of its application
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Size: 199680 |
Author: wu |
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Description: Elman神经网络动态非线性系统建模，程序及simulink模型-Elman neutural network modeling for dynamic non-linear system,including program and simulink model
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Size: 31744 |
Author: frostinfall |
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Description: 文中给出Elman matlab中的代码，详细介绍了从输入层，输出层，反馈层的设计，经试验验证，能收敛到正确的结果-The paper gives Elman matlab code, details from the input layer, output layer, the feedback layer design, the experimental verification, can converge to correct results
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Size: 1024 |
Author: 刘洋 |
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Description: Matlab中关于PSO优化BP神经网络的实例，以及具体的代码(An example of PSO optimization of the BP neural network in Matlab and the specific code)
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Size: 22528 |
Author: XMM许木木
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Description: 关于elman RNN递归神经网络的MATLAB实现(implementation of elman RNN)
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Size: 2048 |
Author: lj201166
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Description: 一个短时的电力流量预测，Elman算法与神经网络结合的实例(A short time traffic flow prediction, an example of the combination of Elman algorithm and neural network)
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Size: 2048 |
Author: wuwuwuwuwuwoo |
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Description: 这是用matlab编写的利用Elman网络预测上证股市开盘价的程序，亲测有效，欢迎下载(This is written in Matlab using Elman network to predict the opening price of the Shanghai Stock Exchange procedures, personally tested effective, welcome to download)
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Size: 4096 |
Author: 姑苏城外 |
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Description: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
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Size: 54128640 |
Author: caravan |
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Description: Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)
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Size: 1024 |
Author: 2373000240 |
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