Artificial neural network and shortwave near-infrared light in pineapple internal quality classification
The determination of the internal quality of pineapples is important for grading the fruit quality. The common procedure to determine the internal quality of the fruit is using a digital refractometer that are destructive, expensive, and time-consuming. In this research, a non-destructive appr...
Saved in:
主要作者: | Jam, Mohamad Nur Hakim |
---|---|
格式: | Thesis |
語言: | English English English |
出版: |
2018
|
主題: | |
在線閱讀: | http://eprints.uthm.edu.my/7487/1/24p%20MOHAMAD%20NUR%20HAKIM%20JAM.pdf http://eprints.uthm.edu.my/7487/2/MOHAMAD%20NUR%20HAKIM%20JAM%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7487/3/MOHAMAD%20NUR%20HAKIM%20JAM%20WATERMARK.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
An Enhanced Probabilistic Neural Network For Pattern Classification
由: Chang, Roy Kwang Yang
出版: (2010) -
EEG Based Detection Of Epilepsy And Anesthetic Level Using Artificial Neural Networks
由: Vairavan, Srinivasan
出版: (2006) -
Artificial Neural Network Based Prediction Of Electrical Test Parameters In Wafer Fabrication Technology
由: Ke, Joseph Kian Seng
出版: (2005) -
Novel Algorithms And Artificial Neural Network Techniques For Optimal Operation And Control Of Electrical Distribution Networks
由: Mohammad Abul Kashem,
出版: (2000) -
Novel Algorithms And Artificial Neural Network Techniques For Optimal Operation And Control Of Electrical Distribution Networks
由: Abul Kashem, Mohammad
出版: (2000)