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» On the Use of Evidence in Neural Networks
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IJON
2008
109views more  IJON 2008»
15 years 1 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
IJCSA
2006
289views more  IJCSA 2006»
15 years 1 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
100
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NN
2000
Springer
142views Neural Networks» more  NN 2000»
15 years 1 months ago
Towards a neural network based therapy for hallucinatory disorders
Pattern completion in a neural network model of the thalamus and a biologically plausible model of synaptic plasticity are the key concepts used in this paper for analyzing some c...
Javier Ropero Peláez
ECAL
2007
Springer
15 years 8 months ago
Developmental Neural Heterogeneity Through Coarse-Coding Regulation
Abstract. A coarse-coding regulatory model that facilitates neural heterogeneity through a morphogenetic process is presented. The model demonstrates cellular and tissue extensibil...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
15 years 8 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa