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» Nonlinear predictive control based on neural multi-models
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AMT
2006
Springer
107views Multimedia» more  AMT 2006»
15 years 1 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang
ESANN
2007
14 years 11 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
ML
2002
ACM
163views Machine Learning» more  ML 2002»
14 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
CEC
2008
IEEE
14 years 12 months ago
Towards the evolution of an artificial homeostatic system
Abstract-- This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS ...
Renan C. Moioli, Patrícia Amâncio Var...
ICRA
2005
IEEE
121views Robotics» more  ICRA 2005»
15 years 3 months ago
Modeling and Analysis of Beaconless and Beacon-Based Policies for a Swarm-Intelligent Inspection System
Abstract— We are developing a swarm-intelligent inspection system based on a swarm of autonomous, miniature robots, using only on-board, local sensors. To estimate intrinsic adva...
Nikolaus Correll, Alcherio Martinoli