Basic Concepts of Artificial Neural Networks (ANN) Modeling in the Application to Pharmaceutical Development

References

• Hussain A. S., Xuanqjang Y., Johnson R. D. Application of neural computing in pharmaceutical product development. Pharm. Res 1991; 8: 1248–1252
   PubMed Web of Science ®Google Scholar
• Murtoniemi E., Merkku P., Yliruusi J. Comparison of four different neural network training algorithms in modelling the fluidized bed granulation process. Lab. Microcomput 1993; 12(3)69–76
   Google Scholar
• Hussain A. S., Shivanand P., Johnson R. D. Application of neural computing in pharmaceutical product development: Computer aided formulation design. Drug Dev. Ind. Pharm 1994; 20(10)1739–1752
   Web of Science ®Google Scholar
• Murtoniemi E., Yliruusi J., Kinnunen P., Merkku P., Leiviskä K. The advantages by the use of neural networks in modelling the fluidized bed granulation process. Int. J. Pharm 1994; 108: 155–164
   Web of Science ®Google Scholar
• Murtoniemi E., Merkku P., Kinnunen P., Leiviskä K., Yliruusi J. Effect of neural network topology and training end point in modelling the fluidized bed granulation process. Int. J. Pharm 1994; 110: 101–108
   Web of Science ®Google Scholar
• Türkoglu M., Ozarslan R., Sakr A. Artificial Neural network analysis of a direct compression tabletting study. Eur. J. Pharm. Biopharm 1995; 41(5)315–322
   Web of Science ®Google Scholar
• Erb R. J. Introduction to backpropagation neural network computation. Pharm. Res 1993; 10(2)165–170
   PubMed Web of Science ®Google Scholar
• Achanta A. S., Kowalski J. G., Rhodes C. T. Artificial neural networks: Implications for pharmaceutical sciences. Drug Dev. Ind. Pharm 1995; 21(1)119–155
   Web of Science ®Google Scholar
• Kohonen T. An introduction to neural computing. Neural Networks 1988; 1: 3–16
   Web of Science ®Google Scholar
• Hecht-Nielsen R. Neurocomputing: Picking the human brain. IEEE Spectrum 1988; 3: 36–41
   Google Scholar
• Sarle W. S. Neural networks and statistical models. Proceedings of the 19th annual SAS User Group international Conference. SAS Institute Inc., Cary, NC 1994, ftp://ftp.sas.com/pub/sugi19/neural/neural 1. ps
   Google Scholar
• Netter F. H. Farbatlanten der Medizin (The Ciba Collection of Medical Illustrations), Band 5, Nervensystem I, Neuroanatomie und Physiologie. Georg Thieme Verlag, Stuttgart/New York 1987; 158, Adapted from
   Google Scholar
• McCulloch W. S., Pitts W. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys 1943; 5: 115–133
   Google Scholar
• Hebb D. O. The Organization of Behavior. Wiley, New York 1949
   Google Scholar
• Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychol. Rev 1958; 65: 386–408
   PubMed Web of Science ®Google Scholar
• Minsky M., Papert S. Perceptron. MIT Press, Cambridge, MA 1969
   Google Scholar
• Hopfield J. J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 1982; 79: 2554–2558
   PubMed Web of Science ®Google Scholar
• Rumelhart D. E., Hinton G. E., Williams R. J. Learning representations by back-propagating errors. Nature 1986; 323: 533–536
   Web of Science ®Google Scholar
• Hecht-Nielsen R. Kolmogorov's mapping neural network existence theorem. Proc. First IEEE Int. Joint Conf. Neural Networks, San Diego, June, 21–241987, III, 11–14
   Google Scholar
• Shadmehr R., D'Argenio D. Z. A neural network for nonlinear Bayesian estimation in drug therapy. Neural Comput 1990; 2: 216–225
   Web of Science ®Google Scholar
• Veng-Pedersen P., Modi N. B. Perspective in pharmacokinetics, Neural networks in pharmacodynamic modelling. Is current modelling practice of complex kinetic system at a dead end?. J. Pharmacokin. Biopharm 1992; 20(4)397–412
   PubMedGoogle Scholar
• Hussain A. S., Johnson R. D., Vachharajani N. N., Ritschel W. A. Feasibility of developing a neural network for prediction of human pharmacokinetic parameters from animal data. Pharm. Res 1993; 10(3)466–469
   PubMed Web of Science ®Google Scholar
• Reibnegger G., Weiss G., Werner-Felmayer G., Judmaier G., Wachter H. Neural networks as a tool for utilizing laboratory information: Comparison with linear discriminant analysis and with classification and regression trees. Proc. Natl. Acad. Sci. USA 1991; 88: 11426–11430
   PubMed Web of Science ®Google Scholar
• Andrea T. A., Kalayeh H. Application of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors. J. Med. Chem 1991; 34: 2824–2836
   PubMed Web of Science ®Google Scholar
• Mavrovouniotis M. L., Chang S. Hierarchical neural networks. Comput. Chem. Eng 1992; 16(4)347–369
   Web of Science ®Google Scholar
• Holcomb T. R., Morari M. PLS/Neural networks. Comput. Chem. Eng 1992; 16(4)393–411
   Web of Science ®Google Scholar
• Livingstone D. J., Manallack D. T. Statistics using neural networks: Chance effects. J. Med. Chem 1993; 36(9)1295–1297
   PubMed Web of Science ®Google Scholar
• Smith B. P., Brier M. E. Statistical approach to neural network model building for gentamicin peak predictions. J. Pharm. Sci 1996; 85(1)65–69
   PubMed Web of Science ®Google Scholar
• Sarle W. S. (1995) Stopped training and other remedies for overfitting. Proceedings of the 27th Symposium on the Interface. 1995. SAS Institute Inc., Cary, NC, ftp://ftp.sas.com/pub/sugil9/neural/interface95.ps
   Google Scholar
• Jackson J. E. A User's Guide to Principal Components. Wiley, New York 1991
   Google Scholar
• Oja E. A simplified neuron modelled as a principal component analyzer. J. Math Biol 1982; 15: 267–273
   PubMed Web of Science ®Google Scholar
• Sanger T. Optimal unsupervised learning in a single layer linear feedforward network. Neural Networks 1989; 12: 459–473
   Google Scholar
• Kohonen T. The self-organizing map. Proc. IEEE 1990; 78: 1464–1480
   Web of Science ®Google Scholar
• Grossberg S. Competitive learning: From interactive activation to adaptive resonance. Cogn. Sci 1987; 11: 23–63
   Web of Science ®Google Scholar
• http://wwwipd.ira.uka.de/-prechelt/FAQ/neural-net-faq.html, Frequently asked question on neural networks
   Google Scholar