Affective Temperature Control in Food SMEs using Artificial Neural Network
Author:
Affiliation:
1. Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
2. Department of Regional and Environmental Science, Ibaraki University, College of Agriculture, Ibaraki, Japan
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2017.1390327
Reference20 articles.
1. Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms
2. Thermal Comfort Evaluation Within Non-residential Environments: Development of Artificial Neural Network by Using the Adaptive Approach Data
3. Occupant feedback based model predictive control for thermal comfort and energy optimization: A chamber experimental evaluation
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