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NIPS
1996
15 years 6 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
CJ
2008
108views more  CJ 2008»
15 years 5 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen
107
Voted
COR
2002
58views more  COR 2002»
15 years 4 months ago
Estimation of all-terminal network reliability using an artificial neural network
Chat Srivaree-ratana, Abdullah Konak, Alice E. Smi...
ICANN
2009
Springer
15 years 11 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...
122
Voted
ICANN
2009
Springer
15 years 11 months ago
Connectionist Models for Formal Knowledge Adaptation
Abstract. Both symbolic knowledge representation systems and artificial neural networks play a significant role in Artificial Intelligence. A recent trend in the field aims at ...
Ilianna Kollia, Nikos Simou, Giorgos B. Stamou, An...