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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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Neural network applications in physics
TL;DR: In this paper, a neural network was used to predict concentrations of radioactivity in the environment, along with the values of other environmental variables, for estimating subsequent levels of the radioactivity.
Proceedings ArticleDOI
Intelligent control of a Stanford JPL hand attached to a 4 DOF robot arm
TL;DR: An intelligent control system for use with a robot arm and an attached Stanford JPL hand is being developed and the two neural networks used are the bidirectional associative memory and adaptive resonance theory (ART 2).
Proceedings ArticleDOI
LabVIEW based Intelligent Controllers for Speed Regulation of Electric Motor
TL;DR: The intelligent controller designed and developed in LabVIEW for speed regulation of DC motor using neuro-fuzzy controller to achieve accurate trajectory control of speed when DC drive and load dynamics are unknown.
Clustering methods for multi-resolution simulation modeling
TL;DR: High-dimensional data clustering is proposed as a key interfacing component between simulation modules with different resolutions and use unsupervised learning schemes to recover the patterns for the high-resolution simulation results.
Integrating Artificial Neural Networks and Cluster Analysis to Assess Energy Efficiency of Buildings
TL;DR: In this paper, the authors presented a data mining approach for assessing the heating and cooling requirements of residential buildings, which combines Artificial Neural Networks (ANNs) and cluster analysis to assess and predict the residential buildings' energy efficiency.