Sciweavers

5065 search results - page 61 / 1013
» Neural networks: Algorithms and applications
Sort
View
ICANN
2005
Springer
14 years 2 months ago
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
IJON
2006
112views more  IJON 2006»
13 years 9 months ago
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the ...
Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Z...
IJCNN
2007
IEEE
14 years 3 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
13 years 7 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 2 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