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Chapter and Conference Paper
An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay
Based on the linear matrix inequality (LMI), new sufficient conditions on the global exponential stability and asymptotic stability of bidirectional associative memory neural networks with variable delay are p...
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Chapter and Conference Paper
Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay
The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient cond...
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Chapter and Conference Paper
New Bounds on Map Labeling with Circular Labels
We present new approximation algorithms for the NP-hard problems of labeling points with maximum-size uniform circles and circle pairs (MLUC and MLUCP). Our algorithms build on the important concept of maximal fe...
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Chapter and Conference Paper
High-Order Hopfield Neural Networks
In 1984 Hopfield showed that the time evolution of a symmetric Hopfield neural networks are a motion in state space that seeks out minima in the energy function (i.e., equilibrium point set of Hopfield neural ...
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Chapter and Conference Paper
A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay
A new theoretical result on the global exponential stability of recurrent neural networks with delay is presented. It should be noted that the activation functions of recurrent neural network do not require to...
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Chapter and Conference Paper
Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays
In this paper, we investigate the global exponential stability for a class of Cohen-Grossberg neural networks (CGNN) with time-varying delays and continuously distributed delays. CGNN herein is a general neura...
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Chapter and Conference Paper
A Hybrid Neural Network and Genetic Algorithm Approach for Multicast QoS Routing
Computing the Multicast QoS routing is an NP-complete problem. Generally, it was solved by heuristic algorithms, which include tabu search, simulated annealing, genetic algorithms (GA), neural networks (NN), e...