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» Neural networks for computational neuroscience
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ICSNC
2007
IEEE
16 years 11 days ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
169
Voted
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 10 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 11 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 11 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
CIG
2006
IEEE
16 years 4 days ago
A Coevolutionary Model for The Virus Game
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
Peter I. Cowling, M. H. Naveed, M. A. Hossain