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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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Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: experiment and artificial neural network prediction

TL;DR: In this article, a series of polytetrafluoroethylene (PTFE) based composites blended with different contents of polyetheretherketone (PEEK) and reinforced with various amounts of short carbon fibres (CF) was considered.
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Comparison of logistic regression and neural networks to predict rehospitalization in patients with stroke

TL;DR: There was no statistically significant or practical advantage in predicting hospital readmission using neural network analysis in comparison to logistic regression for persons who experienced a stroke and received medical rehabilitation during the period of the study.
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Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty

TL;DR: In this paper, a fast FEM-based multiscale algorithm is proposed, allowing for uncertainty introduction and response variability calculation of the macro-scale properties of 3D braided composites, within a Monte Carlo framework.
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Consumer electronics control system based on hand gesture moment invariants

TL;DR: The consumer electronics control system using hand gestures is a new innovative user interface that resolves the complications of using numerous remote controls for domestic appliances and produces real-time responses and highly accurate recognition towards various gestures.
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Predicting the fracture toughness of PNCs: A stochastic approach based on ANN and ANFIS

TL;DR: In this article, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been employed to predict the fracture energy of polymer nanocomposites.