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141
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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
15 years 6 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
114
Voted
ESWA
2006
114views more  ESWA 2006»
15 years 2 months ago
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
The paper demonstrates the efficient use of hybrid intelligent systems for solving the classification problem of bankruptcy. The aim of the study is to obtain classification schem...
Athanasios Tsakonas, Georgios Dounias, Michael Dou...
121
Voted
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 3 months ago
On the effects of node duplication and connection-oriented constructivism in neural XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull
89
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Signal-based segmentation of human locomotion using embedded sensor network
We introduce a simple approach to segment in homogeneous phases a long-duration record of locomotion data consisting of body segment acceleration and foot pressure information onl...
Maud Pasquier, Bernard Espiau, Christine Azevedo-C...
92
Voted
AIIA
2007
Springer
15 years 8 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...