Verification and validation of artificial neural network models

  • Authors:

  • Fei Liu;Ming Yang

  • Affiliations:

  • Control and Simulation Center, Harbin Institute of Technology, Harbin, China;Control and Simulation Center, Harbin Institute of Technology, Harbin, China

  • Venue:
  • AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

The increased dependence on artificial neural network (ANN) models leads to a key question – will the ANN models provide accurate and reliable predictions? However, this important issue has received little systematic study. Thus this paper makes general researches on verification and validation (V&V) of ANN models. Basic problems for V&V of ANN models are explicitly presented, a new V&V approach for ANN models is developed, V&V methods for ANN models are deeply discussed, further research areas for V&V of ANN models are recommended, and an example is given.