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ISNN
2007
Springer
15 years 8 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...
IJCSA
2007
100views more  IJCSA 2007»
15 years 1 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
CIT
2004
Springer
15 years 5 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang
IJCNN
2006
IEEE
15 years 8 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
15 years 8 months ago
Complex networks of simple neurons for bipedal locomotion
— Fluid bipedal locomotion remains a significant challenge for humanoid robotics. Recent bio-inspired approaches have made significant progress by using small numbers of tightl...
Brian F. Allen, Petros Faloutsos