Book Review
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MathSciNet review:
1568061
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Book Information:
Author:
Clark Jeffries
Title:
Code recognition and set selection with neural networks
Additional book information:
Birk\-h\"auser, Boston, 1991, 166 pp., US$49.50. ISBN 0-8176-3585-8.
[1] J. Anderson and E. Rosenfeld (eds.), Neurocomputing: Foundations of research, MIT Press, Cambridge, MA, 1988.
[2] J. Anderson, R. Rosenfeld, and A. Pellionisz (eds.), Neurocomputing 2: Directions for research, MIT Press, Cambridge, MA, 1990.
[3] H. H. Chen, Y. C. Lee, G. Z. Sun, H. Y. Lee, T. Maxwell, and C. L. Giles, High order correlation model for associative memory, Neural Networks for Computing AIP-Conf. Proc., vol. 151, Amer. Inst. Phys., New York, 1986, p. 86.
[4] Stuart Cowan, Dynamical systems arising from game theory, Ph.D. thesis, Univ. of California at Berkeley, 1993.
[5] C. Giles and T. Maxwell, Learning, invariance, and generalization in higher-order neural networks, Appl. Optics 26 (1987), 4972-4978.
[6] S. Grossberg, The adaptive brain, Advances in Psychology, North-Holland, New York, 1987.
[7] S. Grossberg and M. Kuperstein, Neural dynamics of adaptive sensory-motor control, Pergamon Press, New York, 1989.
[8] R. Hecht-Nielsen, Neurocomputing, Addison-Wesley, Reading, MA, 1990.
[9] J. Hertz, A. Krogh, and G. Palmer, Introduction to the theory of neural computation, Santa Fe Institute studies in the sciences of complexity, Lecture notes, vol. 1, Addison-Wesley, Reading, MA, 1991.
J. J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proc. Nat. Acad. Sci. U.S.A. 79 (1982), no. 8, 2554–2558. MR 652033, DOI 10.1073/pnas.79.8.2554
[11] -, Neurons with graded responses have collective computational properties like those of two-state neurons, Nat. Acad. Sci. U.S.A. 81 (1984), 3988-3092.
[12] J. Kidder, A theory of faulty vector fields, Ph.D. thesis, Univ. of California at Berkeley, 1992.
[13] T. Kohonen, Content-addressable memories, Springer-Verlag, New York, 1980.
[14] D. Levine, Introduction to neural and cognitive modeling, L. Erlbaum Associates, Hillsdale, NJ, 1991.
Warren S. McCulloch and Walter Pitts, A logical calculus of the ideas immanent in nervous activity, Bull. Math. Biophys. 5 (1943), 115–133. MR 10388, DOI 10.1007/bf02478259
[16] C. Mead, Analog VLSI and neural systems, Addison-Wesley, Reading, MA, 1989.
[17] M. Minsky and S. Papert, Perceptrons; an introduction to computational geometry, expanded ed., MIT Press, Cambridge, MA, 1988.
Frank Rosenblatt, Principles of neurodynamics. Perceptrons and the theory of brain mechanisms, Spartan Books, Washington, D.C., 1962. MR 0135635
[19] D. Rumelhart, J. McClelland, and the PDP research group, Parallel distributed processing: explorations in the microstructure of cognition, vols. 1, 2, MIT Press, Cambridge, MA, 1986.
[20] T. Sejnowski and C. Rosenberg, Parallel networks that learn to pronounce English text, Complex Systems 1 (1987), 145-168.
[21] A. Skarda and W. J. Freeman, How brains make chaos in order to make sense of the world, Behavioral and Brain Science 10 (1987), 161-195.
[22] B. Widrow, Generalization and information storage in networks of adaline "neurons", Self-Organizing Systems 1962 (M. Yovits, G. Jacobi, and G. Goldstein, eds.), Spartan Books, Washington, DC, 1962, pp. 435-461.
[23] B. Widrow and M. Hoff, Adaptive switching circuits, Neurocomputing (J. Anderson and E. Rosenfeld, eds.), MIT Press, Cambridge, MA, 1988.
- [1]
- J. Anderson and E. Rosenfeld (eds.), Neurocomputing: Foundations of research, MIT Press, Cambridge, MA, 1988.
- [2]
- J. Anderson, R. Rosenfeld, and A. Pellionisz (eds.), Neurocomputing 2: Directions for research, MIT Press, Cambridge, MA, 1990.
- [3]
- H. H. Chen, Y. C. Lee, G. Z. Sun, H. Y. Lee, T. Maxwell, and C. L. Giles, High order correlation model for associative memory, Neural Networks for Computing AIP-Conf. Proc., vol. 151, Amer. Inst. Phys., New York, 1986, p. 86.
- [4]
- Stuart Cowan, Dynamical systems arising from game theory, Ph.D. thesis, Univ. of California at Berkeley, 1993.
- [5]
- C. Giles and T. Maxwell, Learning, invariance, and generalization in higher-order neural networks, Appl. Optics 26 (1987), 4972-4978.
- [6]
- S. Grossberg, The adaptive brain, Advances in Psychology, North-Holland, New York, 1987.
- [7]
- S. Grossberg and M. Kuperstein, Neural dynamics of adaptive sensory-motor control, Pergamon Press, New York, 1989.
- [8]
- R. Hecht-Nielsen, Neurocomputing, Addison-Wesley, Reading, MA, 1990.
- [9]
- J. Hertz, A. Krogh, and G. Palmer, Introduction to the theory of neural computation, Santa Fe Institute studies in the sciences of complexity, Lecture notes, vol. 1, Addison-Wesley, Reading, MA, 1991.
- [10]
- J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proc. Nat. Acad. Sci U.S.A. 79 (1982), 2554-2558. MR 652033 (83g:92024)
- [11]
- -, Neurons with graded responses have collective computational properties like those of two-state neurons, Nat. Acad. Sci. U.S.A. 81 (1984), 3988-3092.
- [12]
- J. Kidder, A theory of faulty vector fields, Ph.D. thesis, Univ. of California at Berkeley, 1992.
- [13]
- T. Kohonen, Content-addressable memories, Springer-Verlag, New York, 1980.
- [14]
- D. Levine, Introduction to neural and cognitive modeling, L. Erlbaum Associates, Hillsdale, NJ, 1991.
- [15]
- W. McCulloch and W. Pitts, A logical calculus of ideas immanent in nervous activity, Bull. Math. Biophys. 5 (1943), 115-133. MR 0010388 (6:12a)
- [16]
- C. Mead, Analog VLSI and neural systems, Addison-Wesley, Reading, MA, 1989.
- [17]
- M. Minsky and S. Papert, Perceptrons; an introduction to computational geometry, expanded ed., MIT Press, Cambridge, MA, 1988.
- [18]
- F. Rosenblatt, Principles of neurodynamics; perceptrons and the theory of brain mechanisms, Spartan Books, Washington, DC, 1962. MR 0135635 (24:B1682)
- [19]
- D. Rumelhart, J. McClelland, and the PDP research group, Parallel distributed processing: explorations in the microstructure of cognition, vols. 1, 2, MIT Press, Cambridge, MA, 1986.
- [20]
- T. Sejnowski and C. Rosenberg, Parallel networks that learn to pronounce English text, Complex Systems 1 (1987), 145-168.
- [21]
- A. Skarda and W. J. Freeman, How brains make chaos in order to make sense of the world, Behavioral and Brain Science 10 (1987), 161-195.
- [22]
- B. Widrow, Generalization and information storage in networks of adaline "neurons", Self-Organizing Systems 1962 (M. Yovits, G. Jacobi, and G. Goldstein, eds.), Spartan Books, Washington, DC, 1962, pp. 435-461.
- [23]
- B. Widrow and M. Hoff, Adaptive switching circuits, Neurocomputing (J. Anderson and E. Rosenfeld, eds.), MIT Press, Cambridge, MA, 1988.
Review Information:
Reviewer:
Morris W. Hirsch
Journal:
Bull. Amer. Math. Soc.
29 (1993), 256-262
DOI:
https://doi.org/10.1090/S0273-0979-1993-00411-7
