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An Effective Learning Method for Max-Min Neural Networks

• Authors : Loo-Nin Teow; Kia-fock Loe; The Pennsylvania State University CiteSeerX Archives

• Source: http://www.comp.nus.edu.sg/~teowloon/ijcai1997_teow.ps.

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A SMOOTHING ALGORITHM FOR TRAINING MAX-MIN NEURAL NETWORKS 1

• Authors : Long Li; Tian Xu; Yan Liu ...

Subjects: Smoothing Algorithm; Neural Networks; Functions

• Source: http://www.jatit.org/volumes/Vol46No1/19Vol46No1.pdf.

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An effective learning method for max-min neural networks

• Authors : Loo-nin Teow; The Pennsylvania State University CiteSeerX Archives

• Source: http://dli.iiit.ac.in/ijcai/IJCAI-97-VOL2/PDF/050.pdf.

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Max-Min fuzzy neural networks for solving relational equations

• Authors : Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio

Subjects: Bases de dades relacionals; Classificació AMS::68 Computer science::68T Artificial intelligence; Fuzzy relational equations

• Source: UPCommons. Portal del coneixement obert de la UPCUniversitat Politècnica de Catalunya (UPC)Mathware & soft computing; 1994: Vol.: 1 Núm.: 3

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Sinirsel bulanık ağların kullanımı ile verilere göre bulanık kontrol kurallarının elde edilmesi ve simulasyonunun gerçekleştirilmesi ; Obtaining and simulating fuzzy control rules according to given data by using neural fuzzy networks

• Authors : Yılmaz, Ersen;

Subjects: Araç kontrol; Örnek sınıflandırma; Bulanık denetleyici

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Classification of Brain Glioma by Using SVMs Bagging with Feature Selection

• Authors : Guo-zheng Li; Tian-yu Liu; Victor S. Cheng ...

• Source: http://cs1.shu.edu.cn/gzli/publication/biodm2006.pdf.

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