首页|Findings in Artificial Intelligence Reported from Suzhou Vocational University ( Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization)
Findings in Artificial Intelligence Reported from Suzhou Vocational University ( Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in artific ial intelligence. According to news originating from Suzhou, People’s Republic o f China, by NewsRx editors, the research stated, “Permeable concrete is a type o f porous concrete with the special function of water permeability, but the perme ability of permeable concrete will decrease gradually due to the clogging behavi or arising from the surrounding environment.” The news journalists obtained a quote from the research from Suzhou Vocational U niversity: “To reliably characterize the clogging behavior of permeable concrete , particle swarm optimization (PSO) and random forest (RF) hybrid artificial int elligence techniques were developed in this study to predict the permeability co efficient of permeable concrete and optimize the aggregate mix ratio of permeabl e concrete. Firstly, a reliable database was collected and established to charac terize the input and output variables for the machine learning. Then, PSO and 10 -fold cross-validation were used to optimize the hyperparameters of the RF model using the training and testing datasets.”
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