1. Hybrid artificial neural network

   • Nadia Nedjah
   • Ajith Abraham
   • Luiza M. Mourelle

   Editorial 28 February 2007 Pages: 207 - 208

2. Using evolution to improve neural network learning: pitfalls and solutions

   • John A. Bullinaria

   Original Article 15 February 2007 Pages: 209 - 226

   

3. RRS + LS-SVM: a new strategy for “a priori” sample selection

   • Bernardo Penna Resende de Carvalho
   • Wilian Soares Lacerda
   • Antônio de Pádua Braga

   Original Article 21 February 2007 Pages: 227 - 234

   

4. An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training

   • Krzysztof Socha
   • Christian Blum

   Original Article 02 March 2007 Pages: 235 - 247

   

5. Reconfigurable hardware for neural networks: binary versus stochastic

   • Nadia Nedjah
   • Luiza de Macedo Mourelle

   Original Article 13 March 2007 Pages: 249 - 255

   

6. Transferring neural network based knowledge into an exemplar-based learner

   • Maria do Carmo Nicoletti
   • Lucas Baggio Figueira
   • Estevam R. Hruschka Jr

   Original Article 17 February 2007 Pages: 257 - 265

   

7. Learning with partly labeled data

   • Abdelhamid Bouchachia

   Original Article 07 March 2007 Pages: 267 - 293

   

8. A data reduction approach for resolving the imbalanced data issue in functional genomics

   • Kihoon Yoon
   • Stephen Kwek

   Original Article 15 March 2007 Pages: 295 - 306

   

9. Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs

   • Ajith Abraham
   • Crina Grosan
   • Ştefan Ţigan

   Original Article 22 February 2007 Pages: 307 - 316