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139
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 9 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
105
Voted
IJON
2007
84views more  IJON 2007»
15 years 3 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
IV
2009
IEEE
107views Visualization» more  IV 2009»
15 years 10 months ago
Multiscale Visual Analysis of Lexical Networks
A lexical network is a very useful resource for natural language processing systems. However, building high quality lexical networks is a complex task. “Jeux de mots” is a web...
Guillaume Artignan, Mountaz Hascoët, Mathieu ...
133
Voted
ANSS
2007
IEEE
15 years 10 months ago
Validation of a Load Shared Integrated Network with Heterogeneous Services
As wireless networks have become more complex with packet services and sophisticated modulation techniques, validation using multidimensional Markov Chain models has become increa...
S. J. Lincke
116
Voted
APSEC
2004
IEEE
15 years 7 months ago
Dynamic Enclose Cell Routing in Mobile Sensor Networks
Many routing protocols for wireless sensor network have been proposed, with the purpose of achieving efficient routing. However, when the mobility increases rapidly and the networ...
Yuan Yang, Dong-hyun Lee, Myong-Soon Park, Hoh Pet...