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» Neural networks: Algorithms and applications
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FLAIRS
2001
15 years 7 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
IJCNN
2000
IEEE
15 years 10 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta

Book
519views
17 years 5 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
ESOA
2006
15 years 9 months ago
A Decentralised Car Traffic Control System Simulation Using Local Message Propagation Optimised with a Genetic Algorithm
This paper describes a car traffic control simulation realised in a decentralised way by message propagations: congested nodes (roads intersections) send speed-up or slow-down mess...
Martin Kelly, Giovanna Di Marzo Serugendo
166
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ICANN
2007
Springer
16 years 9 days ago
SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks
SpikeStream is a new simulator of biologically structured spiking neural networks that can be used to edit, display and simulate up to 100,000 neurons. This simulator uses a combin...
David Gamez