Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
[12] M.M. Denn (1969), Optimization by Variational Methods, McGrawHill [13] R.O. Duda, P.E. Hart (1973), Pattern Classification and Scene Analy
 

Summary: [12] M.M. Denn (1969), Optimization by Variational Methods, McGraw­Hill
Inc. NY.
[13] R.O. Duda, P.E. Hart (1973), Pattern Classification and Scene Analy­
sis, John Wiley & Sons, Inc., NY.
[14] S.E. Fahlman (1988), An Empirical Study of Learning Speed in Back­
Propagation Networks, Technical Report, CMU­CS­88­162.
[15] R. Fletcher (1969), Optimization Symposium of the Institute of Math­
ematics and Its Applications, University of Reele, England, 1968, Aca­
demic Press, London.
[16] R. Hecht­Nielsen (1990), Neurocomputing, Addison­Wesley Publishing
Co.
[17] K.P. Hertz, A. Krough, R. G. Palmer (1991), Introduction to the The­
ory of Neural Computation, Lecture Notes, vol. 1, Santa Fe Institute
Studies in The Sciences of Complexity.
[18] S.L.S. Jacoby, J.S. Kowalik, J.T. Pizzo (1972), Iterative Methods
for Nonlinear Optimization Problems, Prentice­Hall Inc., Englewood
Cliffs, NJ.
[19] M.L. Minsky, S.A. Papert (1969), Perceptrons, MIT Press, Cambridge,
MA.
[20] D.E. Rumelhart, J.L. McClelland, R.J. Williams, (1986) ``Learning In­

  

Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology
California Institute of Technology, Computer Science Department, Multi-Res Modeling Group
Winfree, Erik - Computer Science Department, California Institute of Technology

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences