Title :
Determination of Freshness of Freshwater Fish Based on BP-ANN and Bio-impedance Characteristics
Author :
Jun, Zhang ; XiaoYu, Li ; Wei, Wang ; Zhu, Zhou
Author_Institution :
Key Lab. for Highway Constr. Technol. & Equip. of Minist. of Educ., Chang´´an Univ., Xi´´an, China
Abstract :
The electrical properties of fish body will change during storage; this undoubtedly provides a new method to investigate the spoilage of fish. Based on virtual instrument technology and bio-impedance analysis method, a freshwater fish bio-impedance measurement system was built to investigate the bio-impedance characteristics of freshwater fish silver carp during storage. The result indicated that the impedance and phase decreased with post-mortem time, the accuracy of using impedance and phase angle index to determine fish freshness is 88.89% and 81.49. When taking the two parameters as the input, the TVB-N value as the output to build the ANN model to predict fish freshness, the modelpsilas accuracy is 97.44%, which improves the accuracy of determination fish freshness and provides a new method to determine fish freshness.
Keywords :
aquaculture; artificial intelligence; backpropagation; neural nets; virtual instrumentation; TVB-N value; back-propagation artificial neural network; freshwater fish bio-impedance measurement system; freshwater fish silver carp; virtual instrument technology; Agricultural engineering; Bioimpedance; Circuits; Electrodes; Impedance; Instruments; Marine animals; Muscles; Signal generators; Signal processing; ANN; LabVIEW; bio-impedance; fish freshness; silver carp;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.39
