Now showing items 6-8 of 8

  • Optoelectronics in Scotland: network reconfiguration in a sectoral system of innovation. 

    Sutherland, Bill J. (Academic Conferences and Publishing International Ltd. http://academic-conferences.org/ecie/ecie2014/ecie14-proceedings.htm, 2014-09)
    SUTHERLAND, W. J., 2014. Optoelectronics in Scotland: network reconfiguration in a sectoral system of innovation. In: B. GALBRAITH, ed. Proceedings of the 9th European Conference on Innovation and Entrepreneurship. 18-19 September 2014. Reading: Academic Conferences and Publishing International Ltd. Pp. 438-445.
    Optoelectronics (or photonics) has developed as a significant enabling technology central to the operation of a wide range of artefacts evident in telecommunications, consumer electronics, medical devices and defence. ...
  • Social structures and entrepreneurial networks: the strength of strong ties. 

    Jack, Sarah L.; Dodd, Sarah Drakopoulou; Anderson, Alistair R. (IP Publishing Ltd. http://www.ippublishing.com, 2004-05)
    JACK, S. L., DODD, S. D. and ANDERSON, A. R., 2004. Social structures and entrepreneurial networks: the strength of strong ties. International Journal of Entrepreneurship and Innovation, 5 (2), pp. 107-120
    The entrepreneurial context provides a fertile arena for the study of networks. This qualitative study critically examines the nature, content and process of strong ties, which are found to fall into three categories: ...
  • 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 ...