Neurocontrol of a ball mill grinding circuit using evolutionary reinforcement learning

Minerals Engineering

Volumn 14, Issue 10, 2001, Pages 1277-1294

  Conradie, A V E ^a   Aldrich, C ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

Artificial intelligence; Grinding; Process control

Indexed keywords

ADAPTIVE ALGORITHMS; GRINDING (COMMINUTION); HARDNESS; LEARNING SYSTEMS; NONLINEAR SYSTEMS; ORES; PARTICLE SIZE ANALYSIS; REINFORCEMENT;

EVOLUTIONARY REINFORCEMENT; NEUROCONTROLLER;

BALL MILLS;

EID: 0035471510     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0892-6875(01)00144-3     Document Type: Article

References (10)

1. Dynamic behaviour in the control of milling circuits
2. Learning sequential decision rules using simulation models and competition
3. Neuro-control systems: A tutorial
4. Mill speed as a manipulated variable for ball mill grinding control
5. Implicit niching in a learning classifier system: Nature's way
6. Efficient reinforcement learning through symbiotic evolution
7. Forming neural networks through efficient and adaptive coevolution
8. Optimal control of a ball mill grinding circuit - I. Grinding circuit modelling and dynamic simulation
9. Genetic reinforcement learning for neurocontrol problems