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Computer Science - Artificial Intelligence | Neural Processing Letters – incl. option to publish open access (Editorial Board)

Neural Processing Letters

Neural Processing Letters

Editors-in-Chief: M. Verleysen; M.H. Hassoun

ISSN: 1370-4621 (print version)
ISSN: 1573-773X (electronic version)

Journal no. 11063

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Michel Verleysen
Université Catholique de Louvain, Belgium

Mohamad Hassoun
Wayne State University, Detroit, MI, USA

Associate Editors:

Sophie Achard, CNRS, France; Adel M. Alimi, University of Sfax, Tunisia; Davide Anguita, University of Genova, Italy; Cecilio Angulo, Technical University of Catalonia, Spain; Sabri Arik, Istanbul University, Turkey; P. Balasubramaniam, Gandhigram Rural Institute-Deemed University, India; Wei Bian, University of Technology Sydney, Australia; Michael Biehl, University Groningen, The Netherlands; Antonio Braga, Federal University Minas Gerais, Brazil; Kerstin Bunte, The University of Birmingham, UK; J. Cabestany Moncusi, Universitat Politècnica de Catalunya, Spain; Long Cheng, Chinese Academy of Sciences, China; Vladimir Cherkassky, University of Minnesota, USA; Tommy Chow, City University of Hong Kong, China; Marie Cottrell, Université Paris I, France: Suash Deb, Cambridge Inst. of Technology, India; Sauptik Dhar, Robert Bosch LLC, USA; Berat Dogan, Inonu University, Turkey; Zumray Dokur, Istanbul Technical University, Turkey; Zhong-Ke Gao, Tianjin University, China; Andrej Gisbrecht, Aalto University, Finland; Luis González Abril, University of Seville, Spain; Barbara Hammer, Clausthal University of Technology, Germany; Richang Hong, Hefei University of Technology, China; Chenping Hou, National University of Defense Technology, China; Jun Hu, Harbin University of Science and Technology, China; He Huang, Soochow University, China; Christian Jutten, UJF Grenoble, France; Ata Kaban, University of Birmingham, UK; Ryotaro Kamimura, Tokai University, Japan; Lubomir Kostal, Czech Academy of Sciences, Czech Republic; Vera Kurkova, Academy of Sciences of the Czech Republic, Czech Republic; Petr Lansky, Academy of Sciences of the Czech Republic, Czech Republic; Minho Lee, Kyungpok National University, South Korea; Soo-Young Lee, Korea Advanced Institute of Science and Technology, South Korea; Chi Sing Leung, City University of Hong Kong, China; Xi Li, Zhejiang University, China; Shuai Li, Hong Kong Polytechnic University, China; Chee-Peng Lim, University of Science, Malaysia; Yang Liu, Zhejiang Normal University, China; Weifeng Liu, China University of Petroleum, China; Jianquan Lu, Southeast University, China; Jordi Madrenas, Universitat Politècnica de Catalunya, Spain; Juan Manuel Moreno Arostegui, Universitat Politecnica de Catalunya (UPC), Spain; Feiping Nie, Northwestern Polytechnical University, USA; Julio Ortega, University of Granada, Spain; Duccio Papini, Università degli Studi di Siena, Italy; Jaakko Peltonen, Helsinki University of Technology, Finland; Bertrand Rivet, Grenoble Institute of Technology, France; Ignacio Rojas, University of Granada, Spain; Marcello Sanguineti, University of Genova, Italy; Frank-Michael Schleif, University of Birmingham, UK; Bo Shen, Donghua University, China; Mingli Song, Zhejiang University, China; Changyin Sun, Southeast University, China; Shiliang Sun, East China Normal University, China; Dacheng Tao, University of Technology, Sydney, Australia; Xinmei Tian, University of Science and Technology of China, China; Edmondo Trentin, Universita' di Siena, Italy; Alfredo Vellido, Universitat Politècnica de Catalunya, Spain; Thomas Villmann, University Leipzig, Germany; Qi Wang, Northwestern Polytechnical University, China; Wei Wu, South China University of Technology, China; Xinsong Yang, Chongqing Normal University China; Wankou Yang, Southeast University, China; Jun Yu, Hangzhou Dianzi University, China; Zhao Zhang, Soochow University, China; Mingjun Zhong, Dalian University of Technology, China / University of Edinburgh, UK



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    Neural Processing Letters is an international journal publishing research results and innovative ideas in all fields of artificial neural networks. Prospective authors are encouraged to submit letters concerning any aspect of the Artificial Neural Networks field including, but not restricted to, theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches.

    The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters.
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