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Research Article Open access CC BY 4.0

A Review of Artificial Neural Networks for Chemical Process Optimization and Compound Property Prediction

Lei Wang, Jiacong Kang

Asian Journal of Advanced Research and Reports · pp. 100–108 · Published 21 Dec 2022

10.9734/ajarr/2022/v16i12453

Abstract

Artificial neural networks are widely used in chemical processes because of their powerful data processing capabilities, fault tolerance, nonlinear relationship processing capabilities, and learning capabilities. This paper will introduce the development history and important models of artificial neural network, and focus on its application in chemical process optimization and prediction of physical properties of compounds.

Artificial neural network BP neural network CNN RBF process optimization property prediction

References (26)

  1. 1 Gradient-based learning applied to document recognition [DOI]
  2. 2 Neurons with graded response have collective computational properties like those of two-state neurons. [DOI]
  3. 3 Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position [DOI]
  4. 4 The Organization of Behavior: A Neuropsychological Theory [DOI]
  5. 5 IEEE Transactions on Pattern Analysis and Machine Intelligence [DOI]
  6. 6 Tracking-Learning-Detection [DOI]
  7. 7 A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) [DOI]
  8. 8 Cholinergic and inhibitory synapses in a pathway from motor‐axon collaterals to motoneurones [DOI]
  9. 9 Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches [DOI]
  10. 10 SpineNet: Automated classification and evidence visualization in spinal MRIs [DOI]
  11. 11 Nonparallel Emotional Speech Conversion [DOI]
  12. 12 Quantitative Structure−Property Relationships for the Estimation of Boiling Point and Flash Point Using a Radial Basis Function Neural Network [DOI]
  13. 13 CMUT-based biosensor with convolutional neural network signal processing [DOI]
  14. 14 An affine invariant approach for dense wide baseline image matching [DOI]
  15. 15 Artificial Neural Network Investigation of the Structural Group Contribution Method for Predicting Pure Components Auto Ignition Temperature [DOI]
  16. 16 Artificial Neural Network and Its Application Research Progress in Chemical Process [DOI]
  17. 17 Distributed mean-field-type filter for vehicle tracking [DOI]
  18. 18 Review of Neural Network Algorithm and Its Application in Reactive Distillation [DOI]
  19. 19 Application of Artificial Neural Networks in Chemical Process Control [DOI]
  20. 20 Research Progress of Chemical Process Control and Optimization Based on Neural Network [DOI]
  21. 21 Study on the Simulation Control of Neural Network Algorithm in Thermally Coupled Distillation [DOI]
  22. 22 Application Progress of Artificial Neural Network in Chemical Industry [DOI]
  23. 23 Optimization of Processing Technology for Curcuma phaeocaulis by Orthogonal Test and Artificial Neural Network Model
  24. 24 Journal of Chemical Information and Computer Sciences [DOI]
  25. 25 Journal of Engineering Research and Reports [DOI]
  26. 26 Asian Journal of Research in Computer Science [DOI]

Cited by 5

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