@inproceedings{ButenwegThierauf1997,
  author    = {Butenweg, Christoph and Thierauf, Georg},
  title     = {Optimum cost design of reinforced concrete structures using parallel computing},
  series = {Advances in computational mechanics with parallel and distributed processing : research papers presented at The First Euro-Conference on Parallel and Distributed Computing for Computational Mechanics, held at Lochinver, Scotland, between 26 April and 1 May 1997 / ed. by B. H. V. Topping},
  booktitle = {Advances in computational mechanics with parallel and distributed processing : research papers presented at The First Euro-Conference on Parallel and Distributed Computing for Computational Mechanics, held at Lochinver, Scotland, between 26 April and 1 May 1997 / ed. by B. H. V. Topping},
  publisher = {Saxe-Coburg Publication},
  address   = {Edinburgh},
  organization    = {Euro-Conference on Parallel and Distributed Computing for Computational Mechanics <1, 1997, Lochinver, Scotland>},
  isbn      = {0-948749-47-4},
  pages     = {197 -- 202},
  year      = {1997},
  language  = {en}
}
@inproceedings{ElsenKraissKrumbiegel1997,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich and Krumbiegel, Dirk},
  title     = {Pixel based 3D object recognition with bidirectional associative memories},
  series = {International Conference on Neural Networks 1997},
  booktitle = {International Conference on Neural Networks 1997},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-4122-8},
  pages     = {1679 -- 1684},
  year      = {1997},
  abstract  = {This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.},
  language  = {en}
}