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» Neural networks: Algorithms and applications
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IJON
2007
98views more  IJON 2007»
15 years 6 months ago
Convergent design of piecewise linear neural networks
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
Hema Chandrasekaran, Jiang Li, W. H. Delashmit, Pr...
WWW
2008
ACM
16 years 6 months ago
Integrating the IAC neural network in ontology mapping
Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. This paper proposes a neural network based approach to search for a globa...
Ming Mao, Yefei Peng, Michael Spring
IAJIT
2010
215views more  IAJIT 2010»
15 years 4 months ago
Voice Disorders Identification Using Multilayer Neural Network
: In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses th...
Lotfi Salhi, Talbi Mourad, Adnene Cherif
IJNS
2010
106views more  IJNS 2010»
15 years 4 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
IJCNN
2007
IEEE
16 years 10 days ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy