首页|Reports from University of Modena and Reggio Emilia Add New Data to Findings in Machine Learning (Optimisation of the Adaptive Neuro-fuzzy Inference System for Adjusting Low-cost Sensors Pm Concentrations)
Reports from University of Modena and Reggio Emilia Add New Data to Findings in Machine Learning (Optimisation of the Adaptive Neuro-fuzzy Inference System for Adjusting Low-cost Sensors Pm Concentrations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting originating in Modena, Italy, by NewsRx journa lists, research stated, “Driven by the urgent necessity for accurate environment al data in urban settings, this research leverages the Adaptive Neuro-Fuzzy Infe rence System (ANFIS) as a machine learning-based approach to refine SPS30 low-co st sensor data influenced by hygroscopicity in Turin, Italy. Employing ANFIS off ers several advantages: it enhances clarity regarding the correspondence between output and input values and rules, improves system interpretability, and facili tates the representation of linguistic variables and rules, thereby encouraging domain experts’ involvement in enhancing the system’s performance as needed.”
ModenaItalyEuropeCyborgsEmerging TechnologiesFuzzy LogicMachine LearningUniversity of Modena and Reggio Em ilia
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