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: |
Size: 11264 |
Author:韵子 |
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Description: 人工神经网络实验之一，用Hopfield网络解决旅行商问题。文件中除源程序外还有word文档对算法，理论，问题描述，实验结果，实验分析的完整介绍-experimental artificial neural network, Hopfield network Traveling Salesman Problem. Apart from the source document but also have a word document of the algorithm theory, and the problem description, experimental results, experimental analysis of the complete briefing Platform: |
Size: 94208 |
Author:李琳 |
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Description: Hopfield网络解决旅行商问题（TSP），迭代过程中采用保优方法，并计算最优解和次优解的个数。-Hopfield network Traveling Salesman Problem (TSP), iterative process used method for ensuring quality, and calculating the optimal solution and sub-optimal number of solutions. Platform: |
Size: 40960 |
Author:文文 |
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Description: Hopfield网络是一种典型的单层反馈网络，这种网络可以分为离散型和连续型两种，Hopfield网络是一个动力学系统，在确定连接权重后，若输入某个向量之后，网络将不断演化，一般情况下系统将趋向某一个定态，称为状态空间的不动点吸引子。-Hopfield network is a typical single-layer feedback network, Such networks can be divided into discrete and continuous two, the Hopfield network is a dynamic system, In determining the weights link, and if the importation of a certain vector, the network will continue to evolve Under normal circumstances a system will tend to a steady state, as the state space of fixed point attractor. Platform: |
Size: 108544 |
Author:东方云 |
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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: 该程序比较人性化，有个友好界面，能加载图像，并根据图像训练Hopfield神经网络，你也可以通过添加噪声给图像，以判断它的识别率。-Comparison of the program user-friendly, has a friendly interface that can load images, and in accordance with the training images Hopfield neural network, you can also add noise to images, to determine its recognition rate. Platform: |
Size: 8192 |
Author:林盈 |
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Description: 连续Hopfield网络解决TSP, 绘制路径,计算路径实际长度-Continuous Hopfield network to solve TSP, mapping the path to calculate the actual length of the path Platform: |
Size: 1024 |
Author:吴晨 |
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Description: 用10*12的规模表示数字，1为白，-1为黑。建立hopfield网络对被污染的数字进行识别。可以自己设定迭代次数。-With 10* 12 the size of that number one is white,-1 for the black. The establishment of hopfield network to identify the number of contaminated. Can be set for the number of iterations. Platform: |
Size: 1024 |
Author:胡怡芳 |
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Description: 一个详细的matlab完成的hopfiled网络的代码，可以作为神经网络学习的实例。-Completed a detailed hopfiled network matlab code can be used as examples of neural network learning. Platform: |
Size: 3072 |
Author:王晓 |
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