Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation; 28th International C Igor V. Tetko,Věra Kůrko

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0302-9743 Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learni

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Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation978-3-030-30487-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Takeshi Kanashima,Masanori Okuyamaill construct a new and suitable Lyapunov function to derive the sufficient conditions which ensure that the equilibrium point exist and it is globally exponentially stable. A numerical example is given in order to confirm the theoretical developments of this paper.

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神圣将军

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Norifumi Fujimura,Takeshi Yoshimuraroach, new sufficient conditions are derived to ensuring the strictly .dissipative of the model. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be easily numerically checked by the MATLAB LMI toolbox. At last, a numerical example with simulation is given to illust