Frank P. Incropera, David P. De Witt, Introduction to Heat Teansfer,John. Wiley
and Sons, 1990. Klein. S. A. Klein, F. L. Alvarado, EES, Engineering Equation ...
143
References Amos
Donald Amos, Computing with Splines and B-Splines, 1979
Berger
J. O. Berger, Statistical Decision Theory and Bayesian Analysis, Springer, 1985
Bronstein
Bronstein, Semendjajew, Taschenbuch der Mathematic, Nauka / Teubner, 1991
Cacoullos
T. Cacoullos, Annals of the Institute of Statistical Mathematics (Tokyo), 18(2), 179-189. Estiamtion of a multivariate density
Cheney
Ward Cheney, David Kincaid, Numerical Mathematics and Computing, Brooks/Cole Publishing Company
Cherkassky
Vladimir Cherkassky, Jerome H. Friedman, Harry Wechsler, From Statisitcs to Nerual Networks, Theory and Pattern Recognition Applications, NATO ASI Series F Vol 136, 1993
CRC
Chemical Rubber Company, CRC handbook of chemistry and physics, CRC Press
Freeman
Walter J. Freeman, Linear Analysis of the Dynamic of Neural Masses,Biophysical Journal, vol. 1, pp. 225-256, 1972
Gish
H. Gish, A probabilistic approach to understanding and training of neural network classifiers, IEEE Press, 1990
Gupta
Madan M. Gupta, Dandina H. Rao, Neuro Control Systems, Theory and Application, IEEE Press, 1993
Hanson
R. J. Hanson, Constrained Least Squares Curve Fitting to Discrete Data Using
144 B-Splines, 1979 Hildebrad
F. B. Hildebrand, Introduction to numerical Analysis, McGraw-Hill, 1974
Hunt
K. J. Hunt, D. Sbarbaro, R. Zbikowski, P. J. Gawathrop, Neural Networks for Control Systems - A Survey, Automatica, vol. 28, no. 6, pp 1083-1112, 1992
Incropera
Frank P. Incropera, David P. De Witt, Introduction to Heat Teansfer,John Wiley and Sons, 1990
Klein
S. A. Klein, F. L. Alvarado, EES, Engineering Equation Solver, F-Chart Softwear
Kotz
S. Kotz, N. L. Johnson, C. B. Read, Encyclopedia of statistical Sciences, Wiley, 1985
Kupferman
Irvin Kupferman, Learning, Pronciples of Neural Science, II Edition pp 805815, 1985
Lawson
Lawson, C.L. and R. J. Hanson. Solving Least-Squares Problems, Engelwood Cliffs
MacLeod
M. A. MacLeaod, Improved compuptation of cubic natural Splines with equi-spaced knots, Mathematics of Computation
Murthy 65
V. K. Murthy, Annals of Mathematical Statistics, 36, 1027-1031, 1965, Estimation of probability density
Murthy 66
V. K. Murthy, Multi-variate analysis (in P. R. Krishnaiah (Ed.)), New York: Academic Press, 43-58, 1966, Non-parametric estiamtion of multivariate densities with applications
Narendra
Kumpati S. Narendra, Snehasis Mukhopafhyay, Intelligent Control Using Neural Networks, IEE Control System Management, vol. 12, no. 2,
145 pp 11-18, April 1992 Papula
Lothar Papula, Mathematische Formelsammlung für Ingenieure und Naturwissenschaftler, Vieweg, 1990
Parzen
E. Parzen, Annals of Mathematical Statistics, 33, pp 1065-1076, 1962, On estiamtion of a probability density function and mode
Schultz
M. H. Schultz, Spline Analysis, Engelwood Cliffs, 1973
Steidley
Carl W. Steidley, Neural Networks: Theory, Applications and Development. Computers in Education Journal, 1995
Specht 91
Donald F. Specht, IEEE Transactions on Nerual Networks, Vol 2 pp. 568576, A General Regression Neural Network
Specht 90
Donald F. Specht, Neural Networks, Vol 3 pp. 109-118, 1990, Probabilistic Neural Net
Willis
M. J. Willis, C. Di Massimo, G. A. Montague, M. T. Tham, A. J. Morris, Artificial Neural Networks in Process Engineering, IEE Proceedings, vol. 138, no. 3, pp 256-266, May 1990
Wahba
G. Wahba, Spline Models for Observational Data, SIAM. 1990
Weiss
S. M. Weiss, C. A. Kulikowski. Computer Systems that learn: Classification and Prediction Methods from Statistics, Neural Networks, Machine Learning and Expert Systems, Morgen Kaufman, 1991
Zurada
Jazek M. Zurada, Introduction to Artifizial Neural Systems, 1992
