Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data.

Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control.

CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection.

Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process.

Tree Broad Learning System for Small Data Modeling.

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization.

Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning.

Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes.

Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization.

Multi-objective PSO semi-supervised random forest method for dioxin soft sensor.

Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process.

Combustion state identification of MSWI processes using ViT-IDFC.

Virtual sample generation method based on generative adversarial fuzzy neural network.

Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree.

Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor.

Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling.

DF classification algorithm for constructing a small sample size of data-oriented DF regression model.

Deep forest regression based on cross-layer full connection.