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IEEEICCI
2003
IEEE
15 years 2 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
94
Voted
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
NIPS
2004
14 years 11 months ago
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Computation without stable states is a computing paradigm different from Turing's and has been demonstrated for various types of simulated neural networks. This publication t...
Felix Schürmann, Karlheinz Meier, Johannes Sc...

Book
803views
16 years 7 months ago
Introduction to Neural Networks for Java
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Jeff Heaton