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IJNS
2010
106views more  IJNS 2010»
13 years 6 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
HT
1999
ACM
14 years 6 days ago
Improving Hypermedia Development: A Reference Model-Based Process Assessment Method
If we are to improve our ability to reliably and consistently create high quality hypermedia applications then we need to improve our understanding of the development process and ...
David B. Lowe, Andrew J. Bucknell, Richard Webby
JUCS
2007
107views more  JUCS 2007»
13 years 7 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang
JCST
2010
139views more  JCST 2010»
13 years 6 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
RTSS
2005
IEEE
14 years 1 months ago
Event Count Automata: A State-Based Model for Stream Processing Systems
Recently there has been a growing interest in models and methods targeted towards the (co)design of stream processing applications; e.g. those for audio/video processing. Streams ...
Samarjit Chakraborty, Linh T. X. Phan, P. S. Thiag...