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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 3 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
15 years 1 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 11 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
15 years 1 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 5 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