Evolving neural networks for pharmaceutical research

Proceedings - 2006 International Conference on Hybrid Information Technology, ICHIT 2006

Volumn 1, Issue , 2006, Pages 13-19

  Grosan, Crina ^a   Abraham, Ajith ^b   Tigan, Stefan ^c   Tae, Gyu Chang ^b   Dong, Hwan Kim ^b  

^a BABE BOLYAI UNIVERSITY   (Romania)

^b Chung Ang University   (South Korea)

^c IULIU HATIEGANU UNIVERSITY OF MEDICINE AND PHARMACY   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DRUG PRODUCTS PLANTS; FUZZY SYSTEMS; GRADIENT METHODS; PARAMETER ESTIMATION; SCALABILITY;

BOOTSTRAP TECHNIQUES; CONJUGATE GRADIENT ALGORITHM; PHARMACEUTICAL RESEARCH PROBLEM;

NEURAL NETWORKS;

EID: 34247211128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIT.2006.253458     Document Type: Conference Paper

References (7)

1. James Carpenter, Harvey Goldstein, Jon Rasbash, A Non-parametric bootstrap for multilevel models, Multilevel modelling Newsletter, 11, 2-5, 1999
2. Remus Câmpean, Augustin Prodan, A Rating Model Applied for Designing Drugs, Proceedings of the 12-th IASTED International Conference on Applied Simulation and Modelling, Marbella, Spain, pg 557-561, ACTA press, 2003, ISBN: 0-88986-384-9, ISSN: 1021-8181
3. T. Hesterberg, S. Monaghan, D. S. Moore, A. Clipson, R. Epstein, Bootstrap Methods and Permutation Tests, W. H. Freeman and Company, New York, 2003
4. Moller, A. F., A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning, Neural Networks. 6:525-533, 1993.
5. Abraham A., Neuro-Fuzzy Systems: State-of-the-Art Modeling Techniques, Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, Lecture Notes in Computer Science, Jose Mira and Alberto Prieto (Eds.), Germany, Springer-Verlag, LNCS 2084: 269-276, 2001.
6. Jang, S. R., Sun, C. T. and Mizutani, E., Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, US, Prentice Hall Inc., 1997.
7. Abraham A., Meta-Learning Evolutionary Artificial Neural Networks, Neurocomputing Journal, Elsevier Science, Netherlands, Vol. 56c, pp. 1-38, 2004.