The ICONIP 2010 - 17th International Conference on Neural Information Processing will be held on the 22nd – 25th November 2010 in Sydney, Australia. ICONIP is organised by the Asia-Pacific Neural Network Assembly (APNNA).
Special Session Proposal Submission Due:
30 July 2010
Full Paper Submission Due:
6 August 2010
Notification of acceptance:
23 August to 7 September
Camera Ready Due:
14 September 2010
Attendance registration: ongoing, please use the registration form.
*** NEW *** Please note the ICONIP International Workshop on Data Mining for Cybersecurity on 26 November at the Auckland University of Technology, New Zealand. You can register via the ICONIP registration form.
All papers will be peer-reviewed by at least three reviewers from International Technical Program Committee.
This Conference is ranked "A" by the Excellence in Research for Australia (ERA), see Ranked Conference List
Paper submissions and publications: General stream conference papers of maximum 8 pages each should be submitted on-line following the Springer LNCS format. Papers for the special sessions and for workshops are submitted in the same way as ordinary papers in the targeted session. Papers will be published by the LNCS Springer series, and by journal publication. Selected and extended papers will be published in special issues of journals after the conference.
The 17th International Conference on Neural Information Processing (ICONIP2010) aims at presentation of professional research results and enthusiastic discussions among researchers, scientists, and industry professionals who are working in neural network and related fields.
This year's theme is hybrid / human centred neural systems.
Suggested topics for the conference include, but are not limited to:
Understanding, modelling and curing the brain; Cognition and cognitive modelling; Novel neurocomputing methods; Neuro-informatics; Mathematics of the brain; Brain ontologies; Bioinformatics; Molecular computing; Quantum information processing; Novel methods of soft computing for adaptive modelling and knowledge discovery; Hybrid NN-, fuzzy-, evolutionary- algorithms; Methods of evolving intelligence (EI); Novel methods for Hybrid intelligent systems (HIS); Cellular automata; Artificial Life systems; Evolving molecular processes and their modelling; Evolving processes in the brain and their modelling; Evolving language and cognition; Quantum inspired computational intelligence; Adaptive speech, image and multimodal processing; Adaptive decision support systems; Dynamic time-series modelling; Adaptive control; Adaptive intelligent systems on the WWW; Applications in: Medicine, Health, Information Technologies, Horticulture, Agriculture, Bio-security, Business and finance, Process and robot control, Arts and Design; Adaptive integrated/embedded systems; Agent based systems.