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» Neural Network Algorithms for the p-Median Problem
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ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 14 days ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
ESANN
2007
15 years 18 days ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
COR
2006
95views more  COR 2006»
14 years 11 months ago
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
Sancho Salcedo-Sanz, Yong Xu, Xin Yao
IWANN
2001
Springer
15 years 3 months ago
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!
: Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and ...
Ajith Abraham, Dan Steinberg
IJCNN
2000
IEEE
15 years 2 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama