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» Learning to Map Ontologies with Neural Network
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173
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IJCNN
2007
IEEE
15 years 9 months ago
Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems
Abstract— Received Signal Strength (RSS) based location systems are potential candidates to enable indoor location aware services due to pervasively available wireless local area ...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...
113
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek
162
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IJACTAICIT
2010
163views more  IJACTAICIT 2010»
15 years 24 days ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
107
Voted
ESANN
2007
15 years 5 months ago
Causality and communities in neural networks
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
144
Voted
ISCI
2008
95views more  ISCI 2008»
15 years 3 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang