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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 novel chaotic hetero-associative memory

TL;DR: A novel hetero-associative memory with dynamic behavior using a new extension of sparse learning method that gives the network ability of successive learning, therefore it can store new patterns even after learning phase.

Thermal comfort estimation in relation to different orientation in mountainous regions in greece by using artificial neural networks

TL;DR: In this article, the estimation of thermal comfort conditions in a high altitude site (1455 m) in Apodotia (MA), Greece, by using the MLP neural network model was performed.

An adaptive framework to provide personalisation for mobile learners

TL;DR: The ultimate goal of this thesis is to present the design and implementation of a Machine Learning Based Framework for Adaptive Mobile Learning, to provide a logical structure for the process of adapting learning content to satisfy individual learner characteristics by taking into consideration the learner’s needs.
Book ChapterDOI

Optimized Fuzzy Clustering by Predator Prey Particle Swarm Optimization

TL;DR: In this article, a predator-prey Particle Swarm Optimization (PPPSO) is used for optimization of fuzzy clustering, which is an algorithm which takes a cue from nature's bird flock or fish school and has superior ability in search and fast convergence.
Proceedings ArticleDOI

Predicting the quality of service of wireless LANs using neural networks

TL;DR: A new modeling approach is proposed, based on neural networks, that is able to predict the Quality of Service (QoS) of WLANs based on the characterization of an operational scenario, and can achieve excellent performance.