International Journal of Neural Systems
International Journal of Neural Systems(英文缩写 INT J NEURAL SYST),ISSN 0129-0657,eISSN 1793-6462 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
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International Journal of Neural Systems 最新收录文献
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Improving neural networks prediction accuracy using particle swarm optimization combiner.
This paper proposes a technique to improve Artificial Neural Network (ANN) prediction accuracy using Particle Swarm Optimization (PSO) combiner. A hybrid system consists of two stages with the first s…
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Stability analysis of a class of general periodic neural networks with delays and impulses.
Based on the inequality analysis, matrix theory and spectral theory, a class of general periodic neural networks with delays and impulses is studied. Some sufficient conditions are established for the…
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Bursting near Bautin bifurcation in a neural network with delay coupling.
Bursting behavior is one of the most important firing activities of neural system and plays an important role in signal encoding and transmission. In the present paper, a neural network with delay cou…
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Robust location and spread measures for nonparametric probability density function estimation.
Robustness against outliers is a desirable property of any unsupervised learning scheme. In particular, probability density estimators benefit from incorporating this feature. A possible strategy to a…
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Reinforcement learning in supply chains.
Effective management of supply chains creates value and can strategically position companies. In practice, human beings have been found to be both surprisingly successful and disappointingly inept at …
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An updated time-optimal 3rd-order linear saccadic eye plant model.
A linear third-order model of the ocular motor plant for horizontal saccadic eye movements is presented consisting of a linear ocular motor plant and a time-optimal saccadic controller based on physio…
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Spiking neural networks.
Most current Artificial Neural Network (ANN) models are based on highly simplified brain dynamics. They have been used as powerful computational tools to solve complex pattern recognition, function es…
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A neural network model for credit risk evaluation.
Credit scoring is one of the key analytical techniques in credit risk evaluation which has been an active research area in financial risk management. This paper presents a credit risk evaluation syste…
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Novel stability criteria on discrete-time neural networks with both time-varying and distributed delays.
This paper investigates robust exponential stability for discrete-time recurrent neural networks with both time-varying delay (0 < or = tau(m) < or = tau(k) < or = tau(M)) and distributed one. Through…
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A fully complex-valued radial basis function network and its learning algorithm.
In this paper, a fully complex-valued radial basis function (FC-RBF) network with a fully complex-valued activation function has been proposed, and its complex-valued gradient descent learning algorit…