Access to certain freelance articles and other features within this publication (i.e. photographs, classifieds, etc...) may not be available.
Certain freelance articles previously available have been removed by LexisNexis pursuant to the publisher's directions.
PROQUEST INFORMATION AND LEARNING COMPANY MAKES NO WARRANTY REGARDING THE ACCURACY, COMPLETENESS OR TIMELINESS OF THE LICENSED MATERIALS OR ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING ANY WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, AND SHALL NOT BE LIABLE FOR DAMAGES OF ANY KIND OR LOST PROFITS OR OTHER CLAIMS RELATED TO THE LICENSED MATERIALS OR THEIR USE.
Advances in Artificial Neural Systems offers original research and authoritative reviews on all aspects of the engineering of artificial neural information processing based on the neural paradigm. The neural information processing paradigm rests on the use of large numbers of densely interconnected simple information processing units, and on highly parallel and distributed information processing throughout the system. Similar to natural information processing systems, artificial neural systems have a homogeneous structure, which are highly adaptive and integrate all the information processing for the task from sensing to actuation.