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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2017

Shuffled Frog-Leaping Algorithm trained RBFNN equalizer

The record

Type
Publication
Date
1 January 2017
Level
National
Journal
International Journal of Computer Information Systems and Industrial Management Applications
Volume
9
Pages
249-256
Published
1 January 2017
Scopus ID
85040977169
ISSN
21507988
Authors
4
Open access
No
Citations
11
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Shuffled Frog-Leaping Algorithm training of radial basis function neural network equalizers demonstrates evolutionary optimization methodology for mitigating channel distortion in communications.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3 Innovation, Science and Technology

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Shuffled Frog-Leaping Algorithm training of radial basis function neural network equalizers demonstrates evolutionary optimization methodology for mitigating channel distortion in communications.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Shuffled Frog-Leaping Algorithm trained RBFNN equalizer”. Kortex.

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