Artificial neural network software for real-time estimation of olive oil qualitative parameters during continuous extraction-Reference-Cited by-同舟云学术

Artificial neural network software for real-time estimation of olive oil qualitative parameters during continuous extraction

Published:2007-02 Issue:2 Volume:55 Page:115-131
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Furferi Rocco,Carfagni Monica,Daou Marco

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference24 articles.

1. An Introduction to Neural Computing;Aleksander,1995

2. Influenza delle tecniche estrattive sulla qualità dell’olio in Toscana. Nuovi sistemi di coltivazione dell’olivo;Amirante;Atti ARSIA,2001

3. Amirante P., Catalano P., Amirante R., Clodoveo M.L., Montel G.L., Leone A., Tamborrino A., 2002. Analisi teorica e prove sperimentali. I Georgofili Quaderni IV. Firenze.

4. Artificial neural networks: fundamentals, computing, design, and application;Basheer;J. Microbiol. Methods,2000

5. Neural Networks for Pattern Recognition;Bishop,1995

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