Abstract
This paper describes an applied approach using an Adaptive Neuro-Fuzzy Inference System to formulate the contents of novel diary functional food. In the development stage for a new functional food, it is required a careful balancing in the product ingredients in order to be achieved not only a healthily effect but an acceptable sensory properties. This imposes the solving of multiparametric task, how to select an optimal product composition in order to obtain a products with a great percent of consumer acceptability. Since, the main sensory characteristics of the products can be assessed by trained panelists and encoded by a numerical estimates, the task can be solved by a simple fuzzy input-output mapping, in order to conclude how each component of the product affects a selected sensory characteristic.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 98-103 |
| ISBN (Electronic) | 978-1-4799-3020-3 |
| ISBN (Print) | 978-1-4799-3019-7 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2014 - Alberobello, Italy Duration: 23 Jun 2014 → 25 Jun 2014 |
Conference
| Conference | 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2014 |
|---|---|
| Country/Territory | Italy |
| City | Alberobello |
| Period | 23/06/14 → 25/06/14 |
Keywords
- ANFIS
- functional foods
- multiparametric decision
- yoghurt varieties
Fingerprint
Dive into the research topics of 'An intelligent approach to formulate the contents of novel functional food'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver