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Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree
Published 2019-02-01“…A novel technique is been developed by applying nonlinear-learning of composition model of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) with M5 model tree. In order to improve the generalization ability of a single data driving algorithm, a cluster of ANFIS models with different nodes and hidden layers are implemented to extract the inherent relationship between traffic accident rates and human factors. …”
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A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD
Published 2024-01-01Get full text
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Rolling Bearing Fault Diagnosis Based on Adaptive Multiparameter-Adjusting Bistable Stochastic Resonance
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Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach
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A multi-objective metaheuristic method for node placement in dynamic IoT environments
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Soft Measurement of Wastewater Treatment System Based on PSOGA-WNN
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Integrated Energy Management of Smart Grids in Smart Cities Based on PSO Scheduling Models
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Attitude Active Disturbance Rejection Control of the Quadrotor and Its Parameter Tuning
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Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game
Published 2015-01-01Get full text
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Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype
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Multi-UAV Cooperative Air Combat Target Assignment Method Based on VNS-IBPSO in Complex Dynamic Environment
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Survival risk prediction of gastric cardia cancer-based on a dynamic modular neural network
Published 2024-12-01“…Therefore, this paper proposes a data-driven method for the survival risk of cardiac cancer based on an adaptive particle swarm optimization algorithm (APSO) and a dynamic modular neural network (DMNN). …”
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