Now showing items 1-2 of 2

  • Training neural networks using Taguchi methods: overcoming interaction problems. 

    Viswanathan, Alagappan; Macleod, Christopher; Maxwell, Grant M.; Kalidindi, Sashank (Springer https://dx.doi.org/10.1007/11550907_17, 2005-09-01)
    VISWANATHAN, A., MACLEOD, C., MAXWELL, G. and KALIDINDI, S. 2005. Training neural networks using Taguchi methods: overcoming interaction problems. Lecture notes in computer science [online], 3697, Proceedings of the 15th international conference on artifical neural networks (ICANN 2005): formal models and their applications, 11-15 September 2005, Warsaw, Poland, part 2, pages 103-108. Available from: https://dx.doi.org/10.1007/11550907_17
    Taguchi Methods (and other orthogonal arrays) may be used to train small Artificial Neural Networks very quickly in a variety of tasks. These include, importantly, Control Systems. Previous experimental work has shown that ...
  • Using orthogonal arrays to train artificial neural networks. 

    Viswanathan, Alagappan (The Robert Gordon University School of Engineering, 2005-10)
    The thesis outlines the use of Orthogonal Arrays for the training of Artificial Neural Networks. Such arrays are popularly used in system optimisation and are known as Taguchi Methods. The chief advantage of the method is ...