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Published in 2021 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.7260
Abstract: In this paper, we study a class of memristive neural networks with mixed delays. The existence of its equilibrium point is proved without the boundedness and initial value of the activation function, and a criterion…
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Keywords:
neural networks;
mixed delays;
networks mixed;
memristive neural ... See more keywords
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Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9849-x
Abstract: In this paper, we investigate the dynamic behaviors of quaternion-valued recurrent neural networks with mixed time delays. On the basis of Brouwer’s fixed point theorem, quaternion-valued variation parameter and quaternion-modulus inequality technique, some sufficient conditions…
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Keywords:
quaternion;
neural networks;
stability quaternion;
networks mixed ... See more keywords
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Published in 2020 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-020-01148-0
Abstract: In this paper, Clifford-valued inertial neutral neural networks with time-varying delays and infinite distributed delay are investigated. With the help of the pseudo almost periodic function theory, Banach’s fixed point theorem, and the differential inequality…
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Keywords:
mixed delays;
neural networks;
networks mixed;
clifford ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.046
Abstract: Abstract This paper addresses the problem of stability analysis for uncertain switched neural networks with mixed time-varying delays resorting to a novel delay division method. Firstly, based on the theory of arithmetic and geometric sequence,…
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Keywords:
neural networks;
division;
switched neural;
networks mixed ... See more keywords
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Published in 2023 at "ASTIN Bulletin"
DOI: 10.1017/asb.2023.15
Abstract: Abstract We focus on modelling categorical features and improving predictive power of neural networks with mixed categorical and numerical features in supervised learning tasks. The goal of this paper is to challenge the current dominant…
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Keywords:
neural networks;
networks mixed;
numerical features;
categorical features ... See more keywords