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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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EVOW
2009
Springer
13 years 5 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo
ENGL
2006
108views more  ENGL 2006»
13 years 7 months ago
A Fuzzy-Neuro Model for Normal Concrete Mix Design
: Concrete mix design is a process of proportioning the ingredients in right proportions. Though it is based on sound technical principles and heuristics, the entire process is not...
M. C. Nataraja, M. A. Jayaram, C. N. Ravikumar
WSC
2008
13 years 10 months ago
Mixed model assembly line balancing problem with fuzzy operation times and drifting operations
Assembly line balancing problem (ALBP) means assigning a series of task elements to uniform sequential stations under certain restrictions. This paper considers a special type of ...
Weida Xu, Tianyuan Xiao
KES
2007
Springer
14 years 1 months ago
Design of Neural Networks
The paper offers a critical analysis of the procedure observed in many applications of neural networks. Given a problem to be solved, a favorite NN-architecture is chosen and its p...
Claudio Moraga