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Artificial Neural Network and Structural Equation Modeling Techniques

In: Artificial Neural Networks and Structural Equation Modeling

Author

Listed:
  • Ali Shakir Zaidan

    (Universiti Sains Malaysia, School of Management)

  • Arash Arianpoor

    (Imam Reza International University, Faculty of Administrative Sciences, Accounting Department)

Abstract

The goal of using the SEM approach with ANN is to capture linear and non-compensated relationships. However, there are many shortcomings in understanding the mechanism of application of such techniques. Therefore, this chapter describes the concept of the SEM method and the concept of ANN. Hence, an insight into how to adopt the ANN method with SEM will be provided. Finally, the discussion and conclusion of this chapter will be addressed.

Suggested Citation

  • Ali Shakir Zaidan & Arash Arianpoor, 2022. "Artificial Neural Network and Structural Equation Modeling Techniques," Springer Books, in: Alhamzah Alnoor & Khaw Khai Wah & Azizul Hassan (ed.), Artificial Neural Networks and Structural Equation Modeling, pages 3-22, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6509-8_1
    DOI: 10.1007/978-981-19-6509-8_1
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