DocumentCode
2329096
Title
Artificial neural networks, where do we go next?
Author
Hammerstrom, Dan
Author_Institution
Comput. Sci. & Eng., Oregon Health & Sci. Univ., Portland, OR, USA
Volume
4
fYear
2004
fDate
25-29 July 2004
Firstpage
2989
Abstract
Summary form only given. The possibilities of going to the next level after neural networks by creating new intelligent complex systems are discussed in This work. To create such complex systems, there are a number of important problems that must be solved. The problems presented are as follows: (a) scaling; (b) the degree of biological accuracy; (c) how to do system integration; and (d) hardware acceleration. Some examples of research in each area were also given in This work.
Keywords
large-scale systems; neural nets; artificial neural networks; biological accuracy degree; cognitive psychology; computational neuroscience; hardware acceleration; intelligent complex systems; system integration; Artificial neural networks; Biological system modeling; Capacitive sensors; Computational intelligence; Computer science; Emulation; Hardware; Intelligent systems; Neurons; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1381142
Filename
1381142
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