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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(1): 56-60 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.234

Design of Near-Optimal Classifier Using Multi-Layer Perceptron Neural Networks for Intelligent Sensors

Nadir N. Charniya

Abstract—The Multi-layer Perceptron Neural Networks (MLP NN) are well known for their simplicity, ease of training for small-scale problems, and suitability for online implementation. This paper presents the methodology and challenges in the design of near-optimal MLP NN based classifier with maximize classification accuracy under the constraints of minimum network dimension for implementation intelligent sensors.

Index Terms—Classifier, neural networks, multi-layer percptron, intelligent sensors.

Nadir. N. Charniya is with the VES Institute of Technolgy, Collectors Colony, RC Marg, Chembur, Mumbai, pin 400074, India (e-mail: nncharniya@gmail.com).

[PDF]

Cite: Nadir N. Charniya, "Design of Near-Optimal Classifier Using Multi-Layer Perceptron Neural Networks for Intelligent Sensors," International Journal of Modeling and Optimization vol. 3, no. 1, pp. 56-60, 2013.

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