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IJCNN
2007
IEEE
16 years 28 days ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
CGI
2004
IEEE
15 years 10 months ago
Computer Aided Design for Origamic Architecture Models with Polygonal Representation
An Origamic Architecture (OA) is a folded sheet of perforated paper from which a three-dimensional structure "pops up" when it is opened. It is similar to a "pop-up...
Jun Mitani, Hiromasa Suzuki
ATAL
2006
Springer
15 years 10 months ago
Modeling uncertain domains with polyagents
Agent-based modeling is a powerful tool for systems modeling. Instantiating each domain entity with an agent permits us to capture many aspects of system dynamics and interactions...
H. Van Dyke Parunak, Sven Brueckner
IASSE
2004
15 years 8 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
ESWA
2007
96views more  ESWA 2007»
15 years 6 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...