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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19450
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Total Authors : 21252
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| Paper Title: | Enhancing Convolutional Neural Network Performance through Binary Particle Swarm Optimization for Feature Selection |
| Authors Name: | Dr.Safira Begum , Basavaraj C.M |
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IJRTI_205730
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| Published Paper Id: | IJRTI2508072 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | |
| Abstract: | Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in a variety of pattern recognition and image classification tasks. However, their efficiency and accuracy can be influenced by the selection of relevant features from the extracted representations. Manual feature selection can be tedious, prone to human bias, and computationally inefficient. This paper presents a hybrid framework that integrates Binary Particle Swarm Optimization (BPSO) with CNNs to perform automatic feature selection. The proposed BPSO-CNN approach reduces feature dimensionality, improves classification accuracy, and accelerates training. Experiments conducted on a benchmark image dataset show that the BPSO-based feature subset outperforms the baseline CNN in both accuracy and computational efficiency. The results indicate that metaheuristic optimization, specifically BPSO, can significantly enhance the practical deployment of CNN-based models in real-world applications. |
| Keywords: | CNN, BPSO |
| Cite Article: | "Enhancing Convolutional Neural Network Performance through Binary Particle Swarm Optimization for Feature Selection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a590-a592, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508072.pdf |
| Downloads: | 000709 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2508072
Registration ID:205730
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: a590-a592 Country: Bangalore, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508072 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508072 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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