Now showing items 7-9 of 9

  • 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: ...
  • Ten tips for working the network. 

    Marcella, Rita (Press and Journal, 2016-10-17)
    MARCELLA, R. 2016. Ten tips for working the network. Press and journal. The business (supplement) [online], 17 October, page 10. Available from: https://www.pressandjournal.co.uk/fp/business/business-opinion/1051727/rita-marcella-ten-tips-working-network
    We all have networks - they are natural phenomena that we encounter from our earliest days, membership of which begins in early childhood and is nurtured (though also sometimes damaged) through participation in nursery, ...
  • 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 ...