Prediction of lactic acid concentration using artificial neural network
This study investigates the application of artificial neural network in model development for lactic acid production. The current measurement of lactic acid concentrations is conducted offline, resulting in time delay in obtaining the results, not to mention that current analysis method is expensive...
Saved in:
Main Author: | Mohamed Esivan, Siti Marsilawati |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/33399/1/SitiMarsilawatiMFKK2012.pdf http://eprints.utm.my/id/eprint/33399/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Software sensor for measuring lactic acid concentration: Effect of input number and node number
by: Rashid, Roslina, et al.
Published: (2010) -
Optimisation of co-culture fermentation of lactobacillus casei and propionibacterium jensenii in rice bran extract
by: Mohamed Esivan, Siti Marsilawati
Published: (2022) -
Prediction of fracture dip using artificial neural networks
by: Alizadeh, Mostafa
Published: (2017) -
Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
by: Mohamed Ramli, Nasser, et al.
Published: (2017) -
ARTIFICIAL NEURAL NETWORK PREDICTION OF ASPHALTENE PRECIPITATION IN CRUDE OILS
by: YIP, THANG FOONG
Published: (2021)