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NPL
2006
113views more  NPL 2006»
15 years 3 months ago
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
Taskin Koçak, Matthew Draper
IJCSA
2007
213views more  IJCSA 2007»
15 years 3 months ago
Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
Yang Shi, Weiqi Qian, Weisheng Yan, Jun Li
TNN
2008
88views more  TNN 2008»
15 years 3 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ARTMED
2004
98views more  ARTMED 2004»
15 years 3 months ago
WeAidU - a decision support system for myocardial perfusion images using artificial neural networks
This paper presents a computer-based decision support system for automated interpretation of diagnostic heart images (called WeAidU), which is made available via the Internet. The...
Mattias Ohlsson
SIGKDD
2000
112views more  SIGKDD 2000»
15 years 3 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy