Optimization Using Hopfield Network - Optimization is an action of making something such as design, situation, resource, and system as effective as possible. Using a resemblance between the cost function and energy function, we can use highly interconnec
Optimization with the Hopfield network based on correlated noises : experimental approach [ J ] . Neurocomput2 ing ,2000 ,30 (2) :301 - 321.Mandziuk J.Optimization with the Hopfield network based on correlated noises:experimental approach[J].Neurocomputing,2000,30(2):301-321....
Solving Optimization Problems Using Hopfield NNs Reformulating the cost of a problem in the form of energy function of a Hopfield NN. Build a Hopfield NN based on such an energy function. Running the NN asynchronously until the NN settles down. Read the answer reported by the NN. Hopfield Neu...
This paper presents and examines a neuron-like framework of the generalized Hopfield network (GHN) that is capable to solve nonlinear engineering optimization problems with mixed discrete, integer and real continuous variables. The sequential unconstrained minimization technique (SUMT) was applied to const...
the mathematical model is built on the basis of its mechanism.PI parameters is optimized by using the optimization property of Hopfield neural network.By selecting the appropriate energy function,the network evolves from an initial state towards the minimum energy after finite feedbacks and iterations....
1.This paper analyzed the system characteristics and the applied principle of system optimizing by Hopfield neural networks.分析 Hopfield型神经网络的系统特征及其在系统优化方面的应用原理 ,证明了 DHNN的权值公式 ,改进了基于 Hopfield型神经网络的系统优化模式。 5)System optimize系统优化 1.The article introdu...
First, the existence and the uniqueness of solutions to the generalized Hopfield network in the Filippov sense are proved. Then, the Lie derivative is introduced to analyze the stability of the network using a differential inclusion. The optimality of the solution to the nonsmooth constrained ...
1.This paper analyzed the system characteristics and the applied principle of system optimizing by Hopfield neural networks.分析 Hopfield型神经网络的系统特征及其在系统优化方面的应用原理 ,证明了 DHNN的权值公式 ,改进了基于 Hopfield型神经网络的系统优化模式 。 延伸阅读 电力系统潮流优化电力系统潮流优化power...
"Improving Wishart classification of polarimetric SAR data using the Hopfield Neural Network optimization approach," Remote Sens., vol. 4, no.11, pp. 3571-3595, 2012.G. Pajares, C. Lopez-Martinez, J. Sanchez-Llado, and I. Molina, "Improving Wishart Classification of Polarimetric SAR Data ...
Edge detection using Hopfield neural network The Hopfield neural network has been widely applied in many areas. Its highly interconnected structure of neurons is not only very effective in computation... CH Chao,AP Dhawan - International Society for Optics and Photonics 被引量: 90发表: 1994年 Mem...