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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.read more
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Journal ArticleDOI
Development of Mathematical Models for Prediction of Weld Bead Geometry in Cladding Mild Steel Valve Seat Rings by PTAW
N. Srimath,N. Murugan +1 more
TL;DR: In this article, a five factor, five level technique was used for the development of mathematical equations for the predicting the weld bead geometry for cladding SS410L (Cr-Si-Ni) onto carbon seat valve rings (ASTM A105).
Proceedings ArticleDOI
A Modified Tantalum Oxide Memristor Model for Neural Networks with Memristor-Based Synapses
TL;DR: An improved modification of tantalum oxide memristor model and its application in neural networks is presented and the main advantages of the proposed model are established– higher performance, improved tuning capability and operation for hard-switching mode.
Journal ArticleDOI
Markov Switching Artificial Neural Networks and Volatility Modeling with an Application to a Turkish Stock Index
TL;DR: Results suggest models with markov switching and neural network methodologies in modeling volatility in forecasting future returns in an emerging market stock index provide significant forecast and modeling performance.
Journal ArticleDOI
Predicting Temperature in Orthopaedic Drilling using Back Propagation Neural Network
Rupesh Kumar Pandey,S.S. Panda +1 more
TL;DR: In this paper, a back propagation neural network was used to predict the temperature in orthopaedic drilling using the diameter, feed rate and spindle speed of the drill bits.
Journal ArticleDOI
Simulation of Significant Wave Height by Neural Networks and Its Application to Extreme Wave Analysis
TL;DR: The derivation of the long-term statistical distribution of significant wave heights (Hss) using artificial neural networks trained with the help of a simulated annealing algorithm and operated in an autoregressive mode is discussed.