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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

Artificial neural network models of relationships between Alternaria spores and meteorological factors in Szczecin (Poland)

TL;DR: This study illustrates a novel approach to modelling of time series with short spore seasons, and indicates that the ANN method provides the possibility of forecasting Alternaria spore concentration with high accuracy.
Proceedings ArticleDOI

A neural network based human identification framework using ear images

TL;DR: This paper presents a framework that uses ear images for human identification that makes use of Principal Component Analysis (PCA) for ear image feature extraction and Multilayer Feed Forward Neural Network for classification.
Journal ArticleDOI

The prediction of ship added resistance at the preliminary design stage by the use of an artificial neural network

TL;DR: This study showed that added wave resistance values predicted by the neural network soundly correlated with measured data and had good generalization ability.
Journal ArticleDOI

Automated recognition of spontaneous versus voluntary cough

TL;DR: In this paper, a blind data-based classification between spontaneous and voluntary human cough on individual sound samples was performed using the normalized power spectral density (PSD), which resulted in a correct class-discrimination for 96% of the cough database.
Proceedings ArticleDOI

Selection of a Subset of EEG Channels using PCA to classify Alcoholics and Non-alcoholics

TL;DR: The principal component analysis (PCA) is proposed as feature selection method in choosing a subset of channels that contribute to high accuracy in the classification of alcoholics and non-alcoholics.