首页|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)
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)
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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.”
Tamil NaduIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningPerceptronAnna University
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