Analysis and prediction of anion- and temperature responsive behaviours of luminescent Ru(<scp>ii</scp>)-terpyridine complexes by using Boolean, fuzzy logic, artificial neural network and adapted neuro fuzzy inference models-Reference-Cited by-同舟云学术

Analysis and prediction of anion- and temperature responsive behaviours of luminescent Ru(ii)-terpyridine complexes by using Boolean, fuzzy logic, artificial neural network and adapted neuro fuzzy inference models

Published:2022 Issue:40 Volume:51 Page:15601-15613
ISSN:1477-9226
Container-title:Dalton Transactions
language:en
Short-container-title:Dalton Trans.

Author:

Deb Sourav¹,Sahoo Anik¹,Mondal Priyam¹,Baitalik Sujoy¹^ORCID

Affiliation:

1. Inorganic Chemistry Section, Department of Chemistry, Jadavpur University, Kolkata 700032, India

Abstract

Anion- and temperature responsive behaviours of Ru(ii)-terpyridine complexes were analyzed through Boolean, fuzzy logic, ANN and ANFIS models.

Funder

Science and Engineering Research Board

Council of Scientific and Industrial Research

Publisher

Royal Society of Chemistry (RSC)

Subject

Inorganic Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/DT/D2DT02611B

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