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).
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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