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» On the Computational Power of Neural Nets
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NIPS
2004
13 years 8 months ago
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...

Tutorial
4472views
14 years 6 months ago
An Introduction to Encog Neural Networks for Java
This article provides a basic introduction to neural networks and neural network programming using the Encog Artificial Intelligence Framework. Encog is an AI framework that is ava...
Jeff Heaton
WSC
2000
13 years 8 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
COMPUTER
2004
74views more  COMPUTER 2004»
13 years 7 months ago
WiseNET: An Ultralow-Power Wireless Sensor Network Solution
Christian C. Enz, Amre El-Hoiydi, Jean-Dominique D...
ICTAI
2008
IEEE
14 years 1 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause