Journal ArticleDOI
Neural network models for pattern recognition and associative memory
TLDR
This review outlines some fundamental neural network modules for associative memory, pattern recognition, and category learning andAdaptive filter formalism provides a unified notation.About:
This article is published in Neural Networks.The article was published on 1989-06-01. It has received 339 citations till now. The article focuses on the topics: Competitive learning & Unsupervised learning.read more
Citations
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Book ChapterDOI
Neural Networks for Pattern Recognition
Suresh Kothari,Heekuck Oh +1 more
TL;DR: The chapter discusses two important directions of research to improve learning algorithms: the dynamic node generation, which is used by the cascade correlation algorithm; and designing learning algorithms where the choice of parameters is not an issue.
Journal ArticleDOI
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
TL;DR: A new neural network architecture, called ARTMAP, that autonomously learns to classify arbitrarily many, arbitrarily ordered vectors into recognition categories based on predictive success, which is a type of self-organizing expert system that calibrates the selectivity of its hypotheses based upon predictive success.
Journal ArticleDOI
Application of neural networks to modelling nonlinear relationships in ecology
TL;DR: In this paper, two predictive modelling principles are discussed: multiple regression (MR) and neural networks (NN), and the application of these two techniques to a set of ecological data (study of the relationship between density of brown trout spawning sites (redds) and habitat characteristics), shows that NN are clearly more performant than MR (R2 = 0.96 vs.
Proceedings ArticleDOI
Cellular neural networks
Leon O. Chua,L. Yang +1 more
TL;DR: Examples of cellular neural networks which can be designed to recognize the key features of Chinese characters are presented and some theorems concerning the dynamic range and the steady states of Cellular neural networks are proved.
References
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Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Journal ArticleDOI
A quantitative description of membrane current and its application to conduction and excitation in nerve
A. L. Hodgkin,A. F. Huxley +1 more
TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Journal ArticleDOI
Neural networks and physical systems with emergent collective computational abilities
TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.