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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

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

TL;DR: A new combination of artificial neural network (ANN) and K-nearest neighbors (KNN) models to predict blast-induced ground vibration and AOp, and the superiority of the ANN-KNN model was proved in comparison with the ANN and USBM equations.
Reference EntryDOI

129 Artificial Neural Networks

TL;DR: This chapter presents the fundamental principles of neural network modeling and illustrates some of the most commonly used neural network architectures for practical problem solving.
Journal ArticleDOI

Investigation on Ti6Al4V laser welding using statistical and Taguchi approaches

TL;DR: In this article, both CO2 and diode laser welding processes were investigated for Ti6Al4V alloy sheet joining using either lap or butt configurations, and Artificial Neural Networks (ANN) processed the data coming from the experimental trials.
Journal ArticleDOI

Design of double layer grids using backpropagation neural networks

TL;DR: Efficient neural networks are trained for design of double layer grids using a special method for data ordering to reduce the nonlinearity of the data and to increase the speed of training.
Proceedings ArticleDOI

A view of Artificial Neural Network

TL;DR: ANN provides a very exciting alternatives and other application which can play important role in today's computer science field and some Limitations also are mentioned.