Neural Computing & Applications

Hybrid artificial neural network
pp. 207-208(2)
Authors: Nedjah, Nadia; Abraham, Ajith; Mourelle, Luiza

Using evolution to improve neural network learning: pitfalls and solutions
pp. 209-226(18)
Author: Bullinaria, John

RRS + LS-SVM: a new strategy for “a priori” sample selection
pp. 227-234(8)
Authors: Penna Resende de Carvalho, Bernardo; Soares Lacerda, Wilian; de Pádua Braga, Antônio

An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training
pp. 235-247(13)
Authors: Socha, Krzysztof; Blum, Christian

Reconfigurable hardware for neural networks: binary versus stochastic
pp. 249-255(7)
Authors: Nedjah, Nadia; Macedo Mourelle, Luiza

Transferring neural network based knowledge into an exemplar-based learner
pp. 257-265(9)
Authors: Carmo Nicoletti, Maria; Figueira, Lucas; Hruschka, Estevam

Learning with partly labeled data
pp. 267-293(27)
Author: Bouchachia, Abdelhamid

A data reduction approach for resolving the imbalanced data issue in functional genomics
pp. 295-306(12)
Authors: Yoon, Kihoon; Kwek, Stephen

Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
pp. 307-316(10)
Authors: Abraham, Ajith; Grosan, Crina; Ţigan, Ştefan