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This work is licensed under a Creative Commons Attribution 4.0 International License.
Neuro-Soft Computing Approach for the Design of Near-Optimal Classifier for Quality Assessment of Food Product
MS. YASHSHREE CHAVAN, PROF. ABHIJEET SHINDE Student of Master of Engineering, Digital Electronics, D.B.N.C.O.E.T., Yavatmal, India Assistant Professor, Electronics & Telecommunication, D.B.N.C.O.E.T., Yavatmal, India
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Abstract: This paper gives the best neural network classifier for quality assessment of food product. We are using Back propagation network, learning vector quantization & Radial basis function for this purpose, and finally best network will be chosen for the quality Assessment.
Keywords: Neural network, Sensors, BPNN, Radial Basis Function
Keywords: Neural network, Sensors, BPNN, Radial Basis Function
How to Cite:
[1] MS. YASHSHREE CHAVAN, PROF. ABHIJEET SHINDE Student of Master of Engineering, Digital Electronics, D.B.N.C.O.E.T., Yavatmal, India Assistant Professor, Electronics & Telecommunication, D.B.N.C.O.E.T., Yavatmal, India, βNeuro-Soft Computing Approach for the Design of Near-Optimal Classifier for Quality Assessment of Food Product,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.