Amanote Research

Amanote Research

  • Register
  • Sign In

Input Significance Analysis: Feature Ranking Through Synaptic Weights Manipulation for ANNS-based Classifiers

Journal of Fundamental and Applied Sciences

doi 10.4314/jfas.v9i4s.37

Full Text

Abstract

Available in

Date

January 23, 2018

Authors

R. HassanI. F. T. Al-ShaikhliS. Ahmad

Publisher

African Journals Online (AJOL)


Related search

Input Significance Analysis: Feature Selection Through Synaptic Weights Manipulation for EFuNNs Classifier

Journal of Fundamental and Applied Sciences
2018English

Ranking Candidates Through Convex Sequences of Variable Weights

Group Decision and Negotiation
ArtsManagementHumanitiesDecision SciencesStrategyInnovationManagement of TechnologySocial Sciences
2015English

Feature Ranking in Sentiment Analysis

International Journal of Computer Applications
2014English

Feature Set Evaluation for Classifiers

1989English

Sentiment Classification Through Combining Classifiers With Multiple Feature Sets

2007English

Rough Feature Selection for Intelligent Classifiers

Lecture Notes in Computer Science
2007English

Ensemble Feature Ranking

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Feature Selection for Image Classification Based on a New Ranking Criterion

Journal of Computer and Communications
2015English

Determination of Criteria Weights Using Ranking

Vojnotehnicki glasnik
2014English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy