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Advanced Spiking Neural P Systems

Cover von Advanced Spiking Neural P Systems

Models and Applications, Computational Intelligence Methods and Applications

Peng, Hong/Wang, Jun

Springer Verlag GmbH

192.59

(inklusive MwSt.)

Verfügbarkeit: Besorgungstitel, Festbezug

Autorenportrait

Hong Peng is the Professor at School of Computer and Software Engineering at Xihua University, Chengdu, China. The member of the International Membrane Computing Society (IMCS), IEEE member and CCF member. He is the main investigator of 4 scientific research projects funded by National Natural Science Foundation of China and of more than 20 scientific research projects at the national and provincial levels. He was awarded Sichuan Provincial Natural Science Award in 2017. His research interests include membrane computing, artificial neural works, deep learning, image and computer vision, natural language processing. He has published over 170 scientific papers in international journals and conferences. He has more than 3200 citations with an H-index of 33, according to Google Scholar.    Jun Wang is the Professor at School of Electrical Engineering and Electronic Information at Xihua University, Chengdu, China. The member of the International Membrane Computing Society (IMCS). She is the main investigator of 3 scientific research projects funded by National Natural Science Foundation of China and of more than 30 scientific research projects at the national and provincial levels. She was awarded Sichuan Provincial Natural Science Award in 2017. Her research interests cover several topics, including membrane computing, artificial intelligence, machine learning, intelligent control, power systems. She has published over 90 scientific papers in international journals and conferences. He has more than 2300 citations with an H-index of 29, according to Google Scholar. 

Weitere Details

Erschienen: 24.08.2025

Umfang: xiv, 297 S., 29 s/w Illustr., 107 farbige Illustr.

Sprache: ENG

Einband: KT

ISBN/EAN: 9789819752829

Umbreit-Nr.: 732301

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