Modelling competitive Hopfield networks for the maximum clique problem

Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications

“…In some cases, neural networks even can not obtain feasible solution (Funabiki & Nishikawa, 1997;Liu et al, 2007;Wang et al, 2008). In this subsection, we map the FAP onto a competitive Hopfield neural network (CHNN) (Galán-Marín & Muñoz-Pérez, 2001; Galán-Marí n, Mérida-Casermeiro, & Muñoz-Pérez, 2003). In the CHNN, the penalty terms are handled in an explicit manner, which relieves the burden of parameter tuning.…”

Improving Neural Networks for Mechanism Kinematic Chain Isomorphism Identification

“…In this section we apply a competitive Hopfield network [12,13] for identifying isomorphic chains which implements novel dynamics that are inspired from the discrete Hopfield model. The proposed network consists of a single layer of N binary interconnected neurons.…”

“…Recently presented novel neural approaches based on the discrete Hopfield model have been shown to provide powerful algorithms for some NP-complete problems [12][13][14]. These networks provide fast and accurate solutions without the fine-tuning of parameters required in analog Hopfield models like the one proposed by Kong et al [8].…”

Classification with incomplete survey data: a Hopfield neural network approach

“…The Hopÿeld neural networks have been widely used as an associative memory or to solve optimization problems (e.g., [11]). There have been many versions of the Hopÿeld networks [12][13][14][15][16].…”