On the capabilities of multilayer perceptrons

[1]  Yaser S. Abu-Mostafa,et al.  Random problems , 1988, J. Complex..

[2]  Terrence J. Sejnowski,et al.  Learned classification of sonar targets using a massively parallel network , 1988, IEEE Trans. Acoust. Speech Signal Process..

[3]  Santosh S. Venkatesh,et al.  The capacity of the Hopfield associative memory , 1987, IEEE Trans. Inf. Theory.

[4]  A. Lapedes,et al.  Nonlinear signal processing using neural networks: Prediction and system modelling , 1987 .

[5]  Demetri Psaltis,et al.  Optical Neural Computers , 1987, Topical Meeting on Optical Computing.

[6]  David Haussler,et al.  Classifying learnable geometric concepts with the Vapnik-Chervonenkis dimension , 1986, STOC '86.

[7]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[8]  Geoffrey E. Hinton,et al.  Learning and relearning in Boltzmann machines , 1986 .

[9]  Yaser S. Abu-Mostafa,et al.  Information capacity of the Hopfield model , 1985, IEEE Trans. Inf. Theory.

[10]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Paul J. Werbos,et al.  An Empirical Test of New Forecasting Methods Derived from a Theory of Intelligence: The Prediction of Conflict in Latin America , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[12]  Robert O. Winder,et al.  Threshold logic , 1971, IEEE Spectrum.

[13]  Arthur L. Samuel,et al.  Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..

[14]  A. Mullin.  Threshold Logic: A Synthesis Approach (Michael L. Dertouzos) , 1966 .

[15]  Thomas M. Cover,et al.  Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition , 1965, IEEE Trans. Electron. Comput..

[16]  A. Gamba,et al.  Further experiments with PAPA , 1961 .

[17]  A. Gamba,et al.  An outline of a mathematical theory of PAPA , 1961 .

[18]  Terrence J. Sejnowski,et al.  NETtalk: a parallel network that learns to read aloud , 1988 .

[19]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..

[20]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

[21]  Saburo Muroga,et al.  Logic design and switching theory , 1979 .

[22]  Gregory J. Chaitin,et al.  Information-Theoretic Computational Complexity , 1974 .

[23]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[24]  Gregory J. Chaitin,et al.  Information-theoretic computation complexity , 1974, IEEE Trans. Inf. Theory.

[25]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry , 1969 .

[26]  and C.L. Coates Lewis,et al.  Threshold Logic , 1967 .

[27]  A. A. Mullin,et al.  Principles of neurodynamics , 1962 .