Distributed Adaptive Neuro Intuitionistic Fuzzy Architecture for prediction of the dose in gamma irradiated milk products

M. Terziyska, Y. Todorov, M. Doneva, P. Metodieva

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

Abstract

In this paper, a Distributed Adaptive Neuro Intuitionistic Fuzzy Architecture (DANIFA) with a second order Takagi-Sugeno inference is presented. The architecture represents a layered set of simple fuzzy inferences connected in a distributed way, thus minimizing the number of the interconnected fuzzy mles and their associated parameters. The flexibility of the designed structure to handle uncertain data variations is complemented, by embedding an Intuitionistic fuzzification approach. A simple two-step gradient descent algorithm with a fixed learning rate is used as a learning algorithm of the proposed architecture. To test the prediction abilities of the designed model a biological case for estimation of the low gamma irradiation dose to destnict the protein fractions in milk products with potential uncertain data variations is studied.

Original languageEnglish
Pages (from-to)75-80
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number25
DOIs
Publication statusPublished - 1 Nov 2019
MoE publication typeA4 Article in a conference publication
Event19th IFAC Conference on Technology, Culture and International Stability, TECIS 2019 - Sozopol, Bulgaria
Duration: 26 Sep 201928 Sep 2019

Keywords

  • Intuitionistic fuzzy logic
  • Neural networks
  • Neuro-fiizzy networks
  • Niilk products

Fingerprint Dive into the research topics of 'Distributed Adaptive Neuro Intuitionistic Fuzzy Architecture for prediction of the dose in gamma irradiated milk products'. Together they form a unique fingerprint.

  • Cite this