Application of a multi-structure neural network (MSNN) to sorting pistachio nuts.

A. Ghazanfari, A. Kusalik, J. Irudayaraj

Research output: Contribution to journalArticlepeer-review


A multi-structure neural network (MSNN) classifier consisting of four discriminators followed by a maximum selector was designed and applied to classification of four grades of pistachio nuts. Each discriminator was a multi-layer feed-forward neural network with two hidden layers and a single-neuron output layer. Fourier descriptors of the nuts' boundaries and their area were used as the recognition features. The individual discriminators were trained using a biased technique and a back-propagation algorithm. The MSNN classifier gave an average classification performance of 95.0%. This was an increase of 14.8% over the performance of a multi-layer neural network (MLNN) with similar complexity for classifying the same set of patterns.

Original languageEnglish (US)
Pages (from-to)55-61
Number of pages7
JournalInternational journal of neural systems
Issue number1
StatePublished - Feb 1997
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications


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