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Fundamentals of neural networks

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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.

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Journal ArticleDOI

Representation theory and invariant neural networks

TL;DR: This paper presents a methodology, based on representation theory, for the construction of a neural network invariant under any given finite linear group, and hopes in the future to generalize this theory to approximate invariance under continuous groups.
Proceedings ArticleDOI

Using PCA and LVQ neural network for automatic recognition of five types of white blood cells

TL;DR: A combination of feature selection algorithm and neural network classifier is applied in order to recognize five types of white blood cells in the peripheral blood.
Proceedings ArticleDOI

Artificial Neural Networks Models for Predicting PVT Properties of Oil Field Brines

TL;DR: In this article, the authors used Radial Basis Functions (RBF) and Multi-layer Preceptor (MLP) neural networks to predict different brine properties, such as formation volume factor (FVF), isothermal compressibility, density and viscosity.
Journal ArticleDOI

Epidemiologic Interpretation of Artificial Neural Networks

TL;DR: The authors investigate the role of weights in the formation of neural networks' decision surfaces and decision regions and speculate that neural networks will prove useful in epidemiologic problems that require pattern recognition or complicated classification techniques, and that they will be unfavorable in problems that involve distinct effects of distinguishable predictors.