Neural network model of serial learning

ABSTRACT

A brief introduction to neural networks is given, and correspondences between the elements of such networks and the primitive objects of APL are indicated. A neural network model is presented for simulating serial learning, the ability of an animal to respond in a prescribed sequence to an array of stimuli presented simultaneously. The particular network presented is intended to model stimulus-response (s-r) chaining, a behaviorist theory of serial learning. Some results obtained from running the network are discussed.

REFERENCES

• 1: Culhane, A.D., Peckerar, M. C., & Manian, C. R. K. (1988). Abstract: A Neural Net Approach to Discrete Fourier Transforms. Neuml NetwonGF, vol. 1, suppl. 1,432.
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• 3: Ghosh, S., Collins, E. A., & Scoield, C. L. (1988). Abstract: Prediction of Mortgage Loan Performance with a Multiple Neural Network Leaming System. Neuml Nenuorks, vol. 1, suppl. 1,439.
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INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.4 SOCIAL AND BEHAVIORAL SCIENCES
      Subjects: Psychology

Additional Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS

  D. Software
  D.3 PROGRAMMING LANGUAGES
      D.3.2 Language Classifications

          Nouns: APL

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

General Terms:
Algorithms, Human Factors, Languages, Theory