A Feed-forward Hopfield Neural Network Algorithm (FHNNA) was modified and used with a satellite colour image from type of Thailand earth observation system (THEOS) for TSS mapping in the Penang strait, Malaysia, through the classification of TSS concentrations. The new algorithm is based ...
改进的无线传感网混沌Hopfield盲检测算法 An improved blind detection algorithm of chaos Hopfield neural network for wireless sensor networks Zhang Yun,Yu Shujuan,Liu Huan College of Electronic Science and Engineering,Nanjing University of Posts & Telecommunications,Nanjing 210003,China Abstract:In densely de...
hopfield neural networkenergy functionmap name placementThis paper presents a method of adding label to the map especially for the point feature. This method overcomes the shortcoming of traditional methods, e.g. Conflict\\|Backtracking method. Its kernel algorithm use the hopfield neural network to...
In 1982, Hopfield proposed a model of neural networks [84], which used two-state threshold "neurons" that followed a stochastic algorithm. This model explored the ability of a network of highly interconnected "neurons" to have useful collective computational properties, such as content addressable ...
Visual image encryption algorithm based on Hopfield chaotic neural network and compressive sensing. Journal of Computer Applications, 2021, 41(10): 2893-2899. 发布于 2021-11-13 20:05 神经网络 压缩感知 数据加密算法 赞同24 条评论 分享喜欢收藏申请转载 ...
Considering the feature of remote sensing images, we put forward a remote sensing image classification algorithm based on Hopfield neural network. First, the function and principle of Hopfield neural network is described in this paper. Then based on the common model of Hopfield neural network, the...
Hopfield神经网络在TSP问题中的应用
The training algorithm of the Hopfield neural network is simple and is outlined below: 1. Learning: Assign weights wij to the synaptic connections: (7.68)wij=∑k=1Keikejk,ifi≠j0,ifi=jKeep in mind that wij=wji, so it is necessary to perform the preceding computation only for i<j. 2....
based on the Metropolis thought in the simulated annealing algorithm, an improved continuous Hopfield neural network algorithm (SA-CHNN) applied to the CAN bus load rate optimization problem is proposed in this paper. Micro-electric vehicle’s ninety-nine communication signals are selected and tested...
关键词:离散型Hopfield神经网络;外积和法;损失函数;梯度下降算法;联想记忆中图法分类号:TP391 文献标识号:A 文章编号:1000—7024(2018)03—0831—05doi:10.16208/j.issnl000—7024.2018.03.041Learning algorithm for discrete Hopfield neural networkZHU Li—pin91～,WANG Feng—huil’2+,LI Hong—qil～,LYU ...