Robotics & Machine Learning Daily News2024,Issue(Jan.1) :82-83.

Findings from Anna University Has Provided New Data on Machine Learning (Analysis of the Trade-offs Between Parametric and Non-parametric Classifiers for Classification of Faults In Pneumatic Actuator. Case: Damadics)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :82-83.

Findings from Anna University Has Provided New Data on Machine Learning (Analysis of the Trade-offs Between Parametric and Non-parametric Classifiers for Classification of Faults In Pneumatic Actuator. Case: Damadics)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Learning. According to news reporting out of TamilNadu, India, by NewsRx editors, research stated, “This paper disseminates an extra dimension of substantialanalysis demonstrating the trade-offs between the performance of Parametric (P) and Non-Parametric (NP)classification algorithms when applied to classify faults occurring in pneumatic actuators. Owing to thecriticality of the actuator failures, classifying faults accurately may lead to robust fault tolerant models.”

Key words

Tamil Nadu/India/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Perceptron/Anna University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文