Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control-Reference-Cited by-同舟云学术

Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control

Published:2022-07 Issue: Volume:197 Page:116790
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Jin,Tang Zhaohui,Xie Yongfang,Ai Mingxi,Gui Weihua

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process;Ai;Chemometrics and Intelligent Laboratory Systems,2019

2. Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant;Ai;Journal of the Franklin Institute,2019

3. Fuzzy association rule-based set-point adaptive optimization and control for the flotation process;Ai;Neural Computing and Applications,2020

4. Online monitoring and control of froth flotation systems with machine vision: A review;Aldrich;International Journal of Mineral Processing,2010

5. Arjovsky, M., & Bottou, L. (2017). Towards principled methods for training generative adversarial networks. In: International Conference on Learning Representations.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry;Expert Systems with Applications;2024-11

2. Deep Ensemble Learning-Based Sensor for Flotation Froth Image Recognition;Sensors;2024-08-04

3. Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning;Engineering Applications of Artificial Intelligence;2024-03

4. Compression and reconstruction of flotation foam images based on generative adversarial networks;Minerals Engineering;2023-11

5. Fault detection and diagnosis for liquid rocket engines with sample imbalance based on Wasserstein generative adversarial nets and multilayer perceptron;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-11-09