Neurodynamics and Attractor Networks - A Modified Hopfield Auto-Associative Memory with Improved Capacity - BibliotecaCPI

Artículos similares

Neurodynamics and Attractor Networks - A New Gradient-Based Neural Network for Solving Linear and Quadratic Programming Problems

Acceso

Leung, Y; Chen, K-Z; Jiao, Y-C; Gao, X-B; Leung, K S Pág. 1074 - 1083

Revista: IEEE TRANSACTIONS ON NEURAL NETWORK

Neurodynamics and Attractor Networks - The Convergence Properties of a Clipped Hopfield Network and its Application in the Design of Keystream Generator

Acceso

Chan, C-K; Cheng, L M Pág. 340 - 348

Revista: IEEE TRANSACTIONS ON NEURAL NETWORK

Neurodynamics and Attractor Networks - Global Exponential Stability of Neural Networks with Globally Lipschitz Continuous Activations and Its Application to Linear Variational Inequality Problem

Acceso

Liang, X-B; Si, J Pág. 349 - 359

Revista: IEEE TRANSACTIONS ON NEURAL NETWORK

Neurodynamics and Attractor Networks - Nonlinear Measures: A New Approach to Exponential Stability Analysis for Hopfield-Type Neural Networks

Acceso

Qiao, H; Peng, J; Xu, X-B Pág. 360 - 370

Revista: IEEE TRANSACTIONS ON NEURAL NETWORK

Neurodynamics and Attractor Networks - A Feedforward Bidirectional Associative Memory

Acceso

Wu, Y; Pados, D A Pág. 859 - 866

Revista: IEEE TRANSACTIONS ON NEURAL NETWORK