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» Neural Networks and Complexity Theory
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ICANN
2005
Springer
15 years 3 months ago
A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks
Many approaches have emerged in the attempt to explain the memory process. One of which is the Theory of Neuronal Group Selection (TNGS), proposed by Edelman [1]. In the present wo...
Rogério M. Gomes, Antônio de Pá...
BMCBI
2008
108views more  BMCBI 2008»
14 years 9 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...
ENGL
2007
336views more  ENGL 2007»
14 years 9 months ago
Neural Network Based Controller for Visual Servoing of Robotic Hand Eye System
— In this paper a neural network based controller for robot positioning and tracking using direct monocular visual feedback is proposed. The visual information is provided using ...
Vikas Panwar, N. Sukavanam
ICMLA
2008
14 years 11 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
ISNN
2007
Springer
15 years 3 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...