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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

Learning to communicate: the emergence of signaling in spatialized arrays of neural nets

TL;DR: In a simple spatial environment, pursuing individualistic gains and using partial training on successful neighbors, randomized neural nets can learn to communicate.
Book ChapterDOI

Automatic Text Classification Using an Artificial Neural Network

TL;DR: A new model for the text automatic classification is presented, which uses a self-organizing artificial neural network architecture, which does not require previous knowledge on the domains to be classified.
Journal ArticleDOI

Optimum estimation of missing values in randomized complete block design by genetic algorithm

TL;DR: In this article, the authors used GA approach in a randomized complete block design (RCBD) table and compared the computational results with three other methods, namely, particle swarm optimization (PSO), Artificial Neural Network (ANN), approximate analysis and exact regression method.
Proceedings ArticleDOI

A Neural Network based system for Persian sign language recognition

TL;DR: A static gesture recognition system for recognizing some selected words of Persian sign language (PSL) signs with a classification accuracy of 98.75% when the network is trained using MATLAB NN Toolbox.
Proceedings ArticleDOI

Hybrid Neural Network

TL;DR: A hybrid neural network is proposed and implemented which is a linear hierarchical network which consists of two subnetworks which is based on Kohonen Self-Organizing Map and Learning Vector Quantization.