Neural Networks: Nervous System Of Digital World

• Author(s): Preeti Rawat
• Paper ID: 1700648
• Page: 154-157
• Published Date: 26-04-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 1 Issue 10 April-2018

Abstract

Neuro-fluffy hybridization brings about a mixture insightful framework that synergizes these two procedures by consolidating the human-like thinking style of fluffy frameworks with the learning and connectionist structure of neural systems. Neuro-fluffy hybridization is generally named as fluffy neural system (FNN) or neuro-fluffy framework (NFS) in the writing. Neuro-fluffy framework (the more prevalent term is utilized hereafter) consolidates the human-like thinking style of fluffy frameworks using fluffy sets and a semantic model comprising of an arrangement of IF-THEN fluffy principles. The primary quality of neuro-fluffy frameworks is that they are all inclusive approximators with the capacity to request interpretable IF-THEN guidelines. The quality of neuro-fluffy frameworks includes two conflicting necessities in fluffy demonstrating: interpretability versus precision. Practically speaking, one of the two properties wins. The neuro-fluffy in fluffy demonstrating research field is isolated into two regions: phonetic fluffy displaying that is centered around interpretability, mostly the Mamdani show; and exact fluffy displaying that is centered around exactness, predominantly the Takagi-Sugeno-Kang (TSK) show.

Keywords

Neural Networks; Fuzzy Logics; Artificial Intelligence; Machine Learning;

Citations

IRE Journals:
Preeti Rawat "Neural Networks: Nervous System Of Digital World" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 154-157

IEEE:
Preeti Rawat "Neural Networks: Nervous System Of Digital World" Iconic Research And Engineering Journals, vol. 1, no. 10, Apr. 2018

APA:
Preeti Rawat (2018). Neural Networks: Nervous System Of Digital World. Iconic Research And Engineering Journals, 1(10).

MLA:
Preeti Rawat "Neural Networks: Nervous System Of Digital World" Iconic Research And Engineering Journals, vol. 1, no. 10, Apr. 2018.

BibTeX

@article{1700648,
author = {Preeti Rawat},
title = {Neural Networks: Nervous System Of Digital World},
journal = {Iconic Research And Engineering Journals},
year = {2018},
volume = {1},
number = {10},
pages = {154-157},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1700648.pdf},
abstract = {Neuro-fluffy hybridization brings about a mixture insightful framework that synergizes these two procedures by consolidating the human-like thinking style of fluffy frameworks with the learning and connectionist structure of neural systems. Neuro-fluffy hybridization is generally named as fluffy neural system (FNN) or neuro-fluffy framework (NFS) in the writing. Neuro-fluffy framework (the more prevalent term is utilized hereafter) consolidates the human-like thinking style of fluffy frameworks using fluffy sets and a semantic model comprising of an arrangement of IF-THEN fluffy principles. The primary quality of neuro-fluffy frameworks is that they are all inclusive approximators with the capacity to request interpretable IF-THEN guidelines. The quality of neuro-fluffy frameworks includes two conflicting necessities in fluffy demonstrating: interpretability versus precision. Practically speaking, one of the two properties wins. The neuro-fluffy in fluffy demonstrating research field is isolated into two regions: phonetic fluffy displaying that is centered around interpretability, mostly the Mamdani show; and exact fluffy displaying that is centered around exactness, predominantly the Takagi-Sugeno-Kang (TSK) show.},
keywords = {Neural Networks; Fuzzy Logics; Artificial Intelligence; Machine Learning;},
month = {April}
}