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IJCSA
2007
100views more  IJCSA 2007»
13 years 7 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
VALUETOOLS
2006
ACM
111views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Stability of multi-class queueing systems with state-dependent service rates
We examine the stability of multi-class queueing systems with the special feature that the service rates of the various classes depend on the number of users present of each of th...
Matthieu Jonckheere, Sem C. Borst
IJIT
2004
13 years 9 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
BIOCOMP
2008
13 years 9 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
IDA
2002
Springer
13 years 7 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last