Title :
Artificial neural networks, where do we go next?
Author :
Hammerstrom, Dan
Author_Institution :
Comput. Sci. & Eng., Oregon Health & Sci. Univ., Portland, OR, USA
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381142