Optimisation of neural network topology for predicting moisture content of spray dried coconut milk powder / Nadiah Syafiqah Shaharuddin, Zalizawati Abdullah and Farah Saleena Taip
Moisture content is an important parameter to be controlled in an agricultural product to prevent rapid degradation and promote stabilisation of product and longer shelf life. There are various techniques on predicting the moisture content of spray dried powder that had been used by past researchers...
Saved in:
Main Authors: | Shaharuddin, Nadiah Shafiqah (Author), Abdullah, Zalizawati (Author), Taip, Farah Saleena (Author) |
---|---|
Format: | Book |
Published: |
Universiti Teknologi MARA Shah Alam,
2022-10.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soil Moisture
Published: (2019) -
Soil Moisture Importance
Published: (2021) -
Simulation of Spray Polymerisation and Structure Generation in Spray Drying by Single Droplet Models
by: Säckel, Winfried
Published: (2022) -
Microwave Remote Sensing of Soil Moisture
Published: (2023) -
Remote Sensing of Regional Soil Moisture
Published: (2022)