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
Link To Document :
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