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作者:Yuanyuan Li
来源:[J].Neural Processing Letters(IF 1.24), 2017, Vol.46 (1), pp.59-69
摘要:In the paper, synchronization problem for stochastic neural networks are studied by impulsively controlling partial states. At each impulsive instant, only part of the states are controlled to realize the synchronization of impulsively coupled stochastic neural networks. By using...
作者:Raqibul Hasan , Tarek M. Taha , Chris Yakopcic
来源:[J].Analog Integrated Circuits and Signal Processing(IF 0.553), 2017, Vol.93 (3), pp.443-454
摘要:Memristor crossbar arrays carry out multiply–add operations in parallel in the analog domain which is the dominant operation in a neural network application. On-chip training of memristor neural network systems have the significant advantage of being able to get around device ...
作者:S. Ramasamy , G. Nagamani , T. Radhika
来源:[J].Neural Processing Letters(IF 1.24), 2017, Vol.45 (3), pp.939-965
摘要:This paper is concerned with strict \((\mathcal {Q}, \mathcal {S}, \mathcal {R})-\gamma \) - dissipativity and passivity analysis for discrete-time Markovian jump neural networks involving both leakage and discrete delays expressed in terms of two additive time-varying delay co...
作者:Yali Dong , Shuang Liang , Liangliang Guo
来源:[J].Neural Processing Letters(IF 1.24), 2017, Vol.46 (1), pp.135-158
摘要:This paper deals with the problems of the global exponential stability and stabilization for a class of uncertain discrete-time stochastic neural networks with interval time-varying delay. By using the linear matrix inequality method and the free-weighting matrix technique, we c...
作者:Zengyun Wang , Zhenyuan Guo , Lihong Huang ...
来源:[J].Neural Processing Letters(IF 1.24), 2017, Vol.45 (3), pp.1039-1061
摘要:This paper presents some theoretical results on dynamical behavior of complex-valued neural networks with discontinuous neuron activations. Firstly, we introduce the Filippov differential inclusions to complex-valued differential equations with discontinuous right-hand side ...
作者:José J. Oliveira
来源:[J].Journal of Nonlinear Science(IF 1.566), 2017, Vol.27 (5), pp.1463-1486
摘要:In this paper, we investigate the global convergence of solutions of non-autonomous Hopfield neural network models with discrete time-varying delays, infinite distributed delays, and possible unbounded coefficient functions. Instead of using Lyapunov functionals, we explore intri...
作者:Pablo Lanillos , Daniel Oliva , Anja Philippsen ...
来源:[J].Neural Networks(IF 1.927), 2020, Vol.122, pp.338-363
摘要:Abstract(#br)This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep neural network architectures. We analyzed and compared the most representative symptoms with its neural mode...
作者:Steffen Goebbels
来源:[J].Neural Networks(IF 1.927), 2020, Vol.123, pp.234-235
摘要:Abstract(#br)The paper “New study on neural networks: the essential order of approximation” by Jianjun Wang and Zongben Xu, which appeared in Neural Networks 23 (2010), deals with upper and lower estimates for the error of best approximation with sums of nearly exponentia...
作者:Fabian Ruehle
来源:[J].Journal of High Energy Physics, 2017, Vol.2017 (8)
摘要:We study possible applications of artificial neural networks to examine the string landscape. Since the field of application is rather versatile, we propose to dynamically evolve these networks via genetic algorithms. This means that we start from basic building blocks and combin...
作者:Xue-Zhong Wang , Haifeng Ma , Predrag S. Stanimirović
来源:[J].Neural Processing Letters(IF 1.24), 2017, Vol.46 (1), pp.195-217
摘要:Four gradient-based recurrent neural networks for computing the Drazin inverse of a square real matrix are developed. Theoretical analysis shows that any monotonically-increasing odd activation function ensures the global convergence performance of defined neural network models. ...

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