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» Neural Network Algorithms for the p-Median Problem
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IJNS
2010
106views more  IJNS 2010»
14 years 9 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
99
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ACIIDS
2009
IEEE
105views Database» more  ACIIDS 2009»
14 years 9 months ago
Stability Analysis of Fuzzy Control for Nonlinear Systems
In this study, we propose a method of stability analysis for a GA-Based reference ANNC capable of handling these types of problems for a nonlinear system. The initial values of the...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Shu-Hao Lin
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 4 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
IJCNN
2006
IEEE
15 years 5 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
NN
2006
Springer
128views Neural Networks» more  NN 2006»
14 years 11 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle