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» Local Positioning System Based on Artificial Neural Networks
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ICANN
2005
Springer
14 years 1 months ago
Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes
Abstract. Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause cohere...
Carlos Fernandes, Vitorino Ramos, Agostinho C. Ros...
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Face and Eye Rectification in Video Conference Using Artificial Neural Network
The lack of eye contact in video conference degrades the user’s experience. This problem has been known and studied for many years. There are hardware-based solutions to the eye...
Ben Yip
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
IJCNN
2007
IEEE
14 years 1 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...
KES
2004
Springer
14 years 27 days ago
Towards Cortex Sized Artificial Nervous Systems
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
Christopher Johansson, Anders Lansner