Paper Title
Optimizing Machine Learning Performance via Neural Network Architectures
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Registration ID: IJNRD_308150
Published ID: IJNRD2507038
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Keywords
Machine Learning, Neural Networks, Supervised Learning, Unsupervised Learning, Deep Belief Network
Abstract
: Machine learning enables computers to improve automatically through experience, situated at the intersection of Computer Science, Statistics, and Artificial Intelligence. It is a pivotal technique within the realm of Artificial Intelligence. Neural networks, drawing inspiration from the brain, are potent tools in machine learning. They operate by adjusting connections between artificial neurons to discern patterns within data. This adaptive capability renders them invaluable across diverse domains. A neural network, a cornerstone of artificial intelligence, mirrors the structure and functionality of the human brain. Comprising interconnected nodes, or artificial neurons, it processes information in layered sequences. Each neuron receives input from others, performs computations, and propagates outputs to subsequent layers. Neural networks refine their performance over time by training on vast datasets and adjusting connection weights between neurons, signifying the strength of interactions. This paper delves into refining machine learning algorithms, surpassing many predecessors in recognising syllables and images. Machine learning remains a vigorously evolving research field within the machine learning and pattern recognition community, yielding significant breakthroughs in applications like speech recognition, computer vision, and natural language processing, permeating various industrial products. Neural networks are the linchpin for implementing machine learning and crafting intelligent systems. This paper provides a concise overview of various machine learning paradigms, application areas, different types of neural networks, and their respective applications.
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How To Cite (APA)
SHYAM SUNDAR BHAGAT, SHUBHAM SHAKYA, & ROHINEE PATHAK (July-2025). Optimizing Machine Learning Performance via Neural Network Architectures. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(7), a343-a345. https://ijnrd.org/papers/IJNRD2507038.pdf
Issue
Volume 10 Issue 7, July-2025
Pages : a343-a345
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Paper Reg. ID: IJNRD_308150
Published Paper Id: IJNRD2507038
Research Area: Science All
Author Type: Indian Author
Country: siwan, bihar, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2507038.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2507038
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