𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification

✍ Scribed by Rovithakis, G.A.; Maniadakis, M.; Zervakis, M.


Book ID
117938095
Publisher
IEEE
Year
2004
Tongue
English
Weight
410 KB
Volume
34
Category
Article
ISSN
1083-4419

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A hybrid genetic fuzzy neural network al
✍ Ralf Γ–stermark πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 209 KB

We propose a multigroup classiΓΏcation algorithm based on a hybrid genetic fuzzy neural net (GFNN) framework. Recent results on evolutionary computation and fuzzy neural network methodology are combined to e ectively adapt the membership functions of the fuzziΓΏer and the defuzziΓΏer to the data set. S

A hybrid approach to vehicle routing usi
✍ Jean-Yves Potvin; Danny DubΓ©; Christian Robillard πŸ“‚ Article πŸ“… 1996 πŸ› Springer US 🌐 English βš– 924 KB

A competitive neural network model and a genetic algorithm are used to improve the initialization and construction phase of a parallel insertion heuristic for the vehicle routing problem with time windows. The neural network identifies seed customers that are distributed over the entire geographic a