Description: 自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别-Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify Platform: |
Size: 6752 |
Author:饶玉明 |
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Description: 开发环境:C++
简要说明:这程序是《神经网络模式识别及其实现》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6月，书号ISBN 7-5053-5088-9的第九章<神经联想记忆和Hopfield网络>附的程序。-development environments : C Brief Description : This is "pattern recognition and neural network to achieve" (Pattern Recognition with Neural Networks in C) US Abhijit S. Pandya waiting for the electronic publishing industry in June 1999, ISBN 7-5053-5088-9 the ISBN IX lt; associative memory and neural Hopfield network gt; attached procedures. Platform: |
Size: 31936 |
Author:刘华 |
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Description: 经典的hopfield神经网络的源程序，With with application in Ap:Autoassociative Memory Associative Recall of Images-classical neural network source, with application in With Ap : Autoassociative Associative Memory Recall of Images Platform: |
Size: 2336 |
Author:风 |
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Description: 关于神经网络及其应用的一本电子书，里面包含了一些基本的网络模型的说明如联想记忆，随机神经网络模型等等还有他们的应用及其计算机实现的一些源码-on neural networks and applications of an electronic book, which contains some basic network model stating associative memory, random neural network model, etc. There is also the application and the computer source code Platform: |
Size: 3746595 |
Author:朱圣盼 |
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Description: The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.-The Hopfield model is a distributed model o f an associative memory. Neurons are pixels and can take the values of -1 (off) or 1 (on). The netw contex has stored a certain number of pixel pattern s. During a retrieval phase, the network is started with some initial config Education and dynamics and the network evolves Towar ds the stored pattern which is closest to the ini tial configuration. Platform: |
Size: 14441 |
Author:陈伟 |
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Description: LAM（线性联想记忆）算法：单层的前馈网络，例子能够实现自联想功能-LAM (Linear associative memory) algorithm : the first single-layer feedforward network, for example, can be realized since Lenovo function Platform: |
Size: 63147 |
Author:马行田 |
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Description: 设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。-design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment. Platform: |
Size: 46972 |
Author:天路 |
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Description: BAM网络即双向联想记忆网络，是一种可以记忆模式对的两层非线性反馈神经网络。-BAM network is a two-way associative memory networks, it is a memory of the two-mode nonlinear feedback neural network. Platform: |
Size: 174476 |
Author:czyujian |
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Description: 自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别-Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify Platform: |
Size: 6144 |
Author:饶玉明 |
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Description: 设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。-design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment. Platform: |
Size: 47104 |
Author:天路 |
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Description: 基于神经元网络和 Linear Auto-Associative memory 和pca的人脸识别程序。-based on neural network and Linear Auto-Associative memory pca and face recognition procedures. Platform: |
Size: 5120 |
Author:王大宝 |
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Description: 用javascript编写的一段hopfield联想记忆程序，可以记住m*n个方格的内容。-Prepared with a hopfield javascript associative memory process, m* n one can remember the contents of the box. Platform: |
Size: 3072 |
Author:yutao |
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Description: matla实现细胞神经网络的联想记忆，该方法能实现容量较大的存储模式。-using the matlab realize the associative memory based CNN ，the capacity of the method is much biger than other method presented。 Platform: |
Size: 2048 |
Author:王欣 |
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