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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

Modelling time dependent swelling potential of mudrock using laboratory tests and artificial neural network

TL;DR: In this article, a modified swelling strain and pressure test is introduced using springs to provide deformable axial stiffness, which is modelled by artificial neural network for various swellable clay, carbonate, initial water content and different boundary stiffness, by using a combination of the proposed modified test along with the existing tests.
Proceedings ArticleDOI

Identification of Patterns via Region-Growing Parallel SOM Neural Network

TL;DR: An algorithm has been proposed to take advantage of the unique characteristics of the ParaSOM, where each neuron actually covers a region of the input space, and opens up possibilities for different approaches to clustering and classification.

Optimization of top roller diameter of ring machine to enhance yarn evenness by using artificial intelligence

TL;DR: In this article, a self-organized Kohonen neural network has been applied to observe optimum values of top rollers diameter in case of each yarn type for most of the cotton and cotton/polyester yarns.
Book ChapterDOI

Color Image Segmentation Using Semi-supervised Self-organization Feature Map

TL;DR: This paper presents an image segmentation of color images by semi-supervised clustering method based on modal analysis and mutational agglomeration algorithm in combination with the self-organization feature map (SOM) neural network.
Dissertation

Development of On-Line Analytical Technique for Determination of Composition of CO2-Loaded Formulated Amine Solvents Based on the Liquid Thermo physical Properties for a Post-Combustion CO2 Capture Process

TL;DR: In this paper, the authors present a list of abbreviations of known beliefs, including: ACKNOWLEDGEMENTS, DEDICATION, TABLES, FIGURES, ABREVIATIONS, NOMENCLUTURE, and NUMBER OF FIGURES.