A new implementation of discrete-time Hopfield net with higher capacity and speed of convergence
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference（2001）
摘要
The Hopfield network with a recurrent, non-hierarchical structure is an effective tool for associative memories as well as for optimizations. The main drawback of discrete-time Hopfield net is its low limit of storage capacity. This paper presents a new implementation of Hopfield structured neural net processing higher storage capacities and higher speed rate of convergence as well
更多查看译文
关键词
hopfield neural nets,content-addressable storage,convergence,optimisation,hopfield neural network,associative memory,discrete-time hopfield net,optimization,recurrent neural net,hopfield network,time measurement,neural net,energy storage,rate of convergence,recurrent neural networks,discrete time,network synthesis,neural networks
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要