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» VLSI Implementation of Neural Networks
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ESANN
2007
15 years 3 months ago
An overview of reservoir computing: theory, applications and implementations
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
AEI
2000
120views more  AEI 2000»
15 years 1 months ago
A neural network approach for a robot task sequencing problem
This paper presents a neural network approach with successful implementation for the robot task-sequencing problem. The problem addresses the sequencing of tasks comprising loadin...
Oded Maimon, Dan Braha, Vineet Seth
DAC
1999
ACM
16 years 2 months ago
A Novel VLSI Layout Fabric for Deep Sub-Micron Applications
We propose a new VLSI layout methodology which addresses the main problems faced in Deep Sub-Micron (DSM) integrated circuit design. Our layout "fabric" scheme eliminate...
Sunil P. Khatri, Amit Mehrotra, Robert K. Brayton,...
FUZZY
1997
Springer
260views Fuzzy Logic» more  FUZZY 1997»
15 years 6 months ago
Forecasting Sales Using Neural Networks
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
Frank M. Thiesing, Oliver Vornberger
KES
2006
Springer
15 years 1 months ago
Neural Network Classification of Diesel Spray Images
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
Simon D. Walters, Shaun H. Lee, Cyril Crua, Robert...