Description: Hopfield 网——擅长于联想记忆与解迷路 实现H网联想记忆的关键，是使被记忆的模式样本对应网络能量函数的极小值。 设有M个N维记忆模式，通过对网络N个神经元之间连接权 wij 和N个输出阈值θj的设计，使得: 这M个记忆模式所对应的网络状态正好是网络能量函数的M个极小值。 比较困难，目前还没有一个适应任意形式的记忆模式的有效、通用的设计方法。 H网的算法 1）学习模式——决定权重 想要记忆的模式，用-1和1的2值表示 模式：-1，-1，1，-1，1，1，... 一般表示： 则任意两个神经元j、i间的权重： wij=∑ap(i)ap(j)，p=1…p； P：模式的总数 ap(s)：第p个模式的第s个要素（-1或1） wij：第j个神经元与第i个神经元间的权重 i = j时，wij=0，即各神经元的输出不直接返回自身。 2)想起模式： 神经元输出值的初始化 想起时，一般是未知的输入。设xi(0)为未知模式的第i个要素（-1或1） 将xi(0)作为相对应的神经元的初始值，其中，0意味t=0。 反复部分：对各神经元，计算： xi (t+1) = f (∑wijxj（t）-θi), j=1…n, j≠i n—神经元总数 f（）--Sgn（） θi—神经元i发火阈值 反复进行，直到各个神经元的输出不再变化。-Hopfield network-- good at associative memory solution with the realization of lost H associative memory networks, are key to bringing the memory model samples corresponding network energy function of the minimum. With M-N-dimensional memory model, the network N neurons connect between right wij and N output threshold j design makes : M-mode memory corresponding to the network is a state network energy function is the M-000 minimum. More difficult, it is not an arbitrary form of adaptation memory model of effective, common design methods. H network algorithm 1) mode of learning-- decision weights want memory model, with 1 and 2 of the value of a model, said :-1, 1, 1, 1 ,1,1, ... in general : two were arbitrary neuron j i weights between : wij ap = (i) ap (j), p = 1 ... p; P : The tot Platform: |
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Author:韵子 |
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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: |
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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: |
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Author:王大宝 |
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Description: 联想分为自联想和异联想，应用matlab实现神经网络的联想记忆功能。-Since the association and the association is divided into different association, the application of neural network matlab realize the associative memory function. Platform: |
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Author:luofei |
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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: |
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Author:王欣 |
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Description: 离散二值神经网络，作为一种新的人工神经网络，是一种具有联想记忆功能的网络，用于数字识别。-Discrete binary neural networks, as a new artificial neural network is a kind of associative memory function of the network, for digital identification. Platform: |
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Author:xcxc |
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Description: 《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybody!
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Author:杨飞 |
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Description: Self-Organizing Incremental Neural Network is an
Neural Network model for incremental or on-line
learning. It is proposed by Dr. Furao Shen and Osamu
Hasegawa in 2006: Shen Furao & Osamu Hasegawa, "An
Incremental Network for On-line Unsupervised Classification
and Topology Learning," Neural Networks, vol. 19, pp.90-
106, 2006. SOINN has been applied to Active Learning,
Transfer Learning, Associative Memory and some other fields
in rencent years. Some more advanced readings can be found
in http://cs.nju.edu.cn/rinc/. If you have any problems
please contact the author: frshen@nju.edu.cn. Platform: |
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Author:lohaspig |
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Search - matlab associative memory