Fuzzy neural network for chain pillar design in longwall coal mining
Abstract
In this paper, an approach employing fuzzy neural networks ( FNN ) is proposed for designing a longwall chain pillar system. The major elements related to chain pillar design are characterized by fuzzy membership functions and neural networks. The FNN uses a rule base of propositions in the form of IF A THEN B and is unique in that it is capable of learning and storing some associations. A defuzzification algorithm is taken to give the final decision for the design variables. Test data show a good agreement between FNN and ALPS results.
Fields of Study & Subjects
Geomechanics and Mining Engineering
Geoscience and Mining Technology
Educational Technology and Assessment
Publication details
- Journal / source
- Rock Mechanics
- Publisher
- CRC Press
- Pages
- 593–598
- Publication date
- 18 February 2026
- Language
- EN
- Document type
- Book chapter