Neural computing in pharmaceutical products and process development - Computer-Aided Applications in Pharmaceutical Technology - page 166

Cox, E. (1994) The Fuzzy Systems Handbook. A Practitioner's Guide to Building,
Using and Maintaining Fuzzy Systems . Cambridge, MA: Academic Press;
Book and Disk edition.
Cristianini, N. (2001) Support Vector and Kernel Machines . Available from:
http://www.support-vector.net/icml-tutorial.pdf
Cybenko, G. (1989) 'Approximation by superposition of a sigmoidal function',
Math. Control Signal , 2: 303-14.
Dazzi, D., Taddei, F. , Gavarini, A., Uggeri, E., Negro, R., and Pezzarossa, A.
(2001) 'The control of blood glucose in the critical diabetic patient: a
neuro-fuzzy method', J. Diabetes Complicat. , 15(2): 80-87.
Deconinck, E., Coomans, D., and Heyden, Y. V. (2007) 'Exploration of linear
modeling techniques and their combination with multivariate adaptive
regression splines to predict gastro-intestinal absorption of drugs', J.
Pharmaceut. Biomed. , 43: 119-30.
De Matas, M., Shao, Q., Richardson, C.H., and Chrystyn, H. (2008) 'Evaluation
of in vitro-in vivo correlations for dry powder inhaler delivery using artifi cial
neural networks', Eur. J. Pharm. Sci. , 33: 80-90.
Djekic, L., Ibric, S., and Primorac, M. (2008) 'The application of artifi cial neural
networks in the prediction of microemulsion phase boundaries in PEG-8
caprylic/capric glycerides based systems', Int. J. Pharm. , 361: 41-6.
Djuris, J., Medarevic, D., Krstic, M., Vasiljevic, I., Masic, I., and Ibric, S. (2012)
'Design space approach in optimization of fl uid bed granulation and tablets
compression process', Sci. World. J. , in press.
Dow, L.K., Kalelkar, S., and Dow, E.R. (2004) 'Self-organizing maps for the
analysis of NMR spectra', DDT: Biosilico , 2(4): 157-63.
Dowell, J.A., Hussain, A., Devane, J., and Young, D. (1999) 'Artifi cial
neural networks applied to the in vitro-in vivo correlation of an
extended-release formulation: initial trials and experience', J. Pharm. Sci. , 88:
154-60.
Dowla, F.U. and Rogers, L.L. (1995) Solving Problems in Environmental
Engineering and Geosciences with Artifi cial Neural Networks . Cambridge,
MA: MIT Press.
Dreyfus, G. (2005) Neural Networks: Methodology and Applications . Berlin,
Heilderberg, Germany: Springer-Verlag.
Ebube, N.K., Owusu-Ababio, G., and Moji Adeyeye, C. (2000) 'Preformulation
studies and characterization of the physicochemical properties of amorphous
polymers using artifi cial neural networks', Int. J. Pharm. , 196(1): 27-35.
Eiben, A.E. and Schoenauer, M. (2002) 'Evolutionary computing', Inform.
Process. Lett. , 82: 1-6.
Elman, J.L. (1990) 'Finding structure in time', Cogn. Sciences , 14(2): 179-211.
Emami, M.R., Turksen, I.B., and Goldenberg, A.A. (1998) 'Development of a
systematic methodology of fuzzy logic modeling', IEEE T Fuzzy Syst. , 6(3):
346-61.
Erb, R.J. (1993) 'Introduction to back propagation neural network computation',
Pharm. Res. , 10: 165-70.
Fereydouneyan, F. , Zare, A., and Mehrshad, N. (2011) 'Using a fuzzy controller
optimized by a genetic algorithm to regulate blood glucose level in type 1
diabetes', J. Med. Eng. Technol. , 35(5): 224-30.

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