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International Journal Of Engineering, Business And Management(IJEBM)

Classifier Model using Artificial Neural Network

Inderjit Kaur , Dr. Pardeep Saini


International Journal of Engineering, Business And Management(IJEBM), Vol-7,Issue-4, July - August 2023, Pages 69-73 , 10.22161/ijebm.7.4.11

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Article Info: Received: 12 Jul 2023; Received in revised form: 09 Aug 2023; Accepted: 16 Aug 2023; Available online: 25 Aug 2023

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When it comes to AI and ML, precision in categorization is of the utmost importance. In this research, the use of supervised instance selection (SIS) to improve the performance of artificial neural networks (ANNs) in classification is investigated. The goal of SIS is to enhance the accuracy of future classification tasks by identifying and selecting a subset of examples from the original dataset. The purpose of this research is to provide light on how useful SIS is as a preprocessing tool for artificial neural network-based classification. The work aims to improve the input dataset to ANNs by using SIS, which may help with problems caused by noisy or redundant data. The ultimate goal is to improve ANNs' ability to identify data points properly across a wide range of application areas.

Artificial Neural Network, supervised instance selection, Data classification, machine learning.

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