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  • Computation
  • From different perspectives, neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively. (springer.com)
  • Trend in Neural Computation includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation. (springer.com)
  • Researchers, graduate students and industrial practitioners in the broad areas of neural computation would benefit from the state-of-the-art work collected in this book. (springer.com)
  • Siegelmann, H.T. 2000 'Finite versus infinite neural computation' Calude, C.S. Paun, G. eds. (springer.com)
  • algorithms
  • It will discuss sources of parallelism and locality in scientific applications, common parallel algorithms used in large-scale simulations, and fundamental performance bottlenecks in scientific codes. (toronto.edu)
  • Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. (coursera.org)
  • weights
  • An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. (psu.edu)
  • paper
  • This choice is application-dependent: in this paper, information related to buildings from the SAR image has been selected, since SAR point-targets strongly characterize urban areas. (peerevaluation.org)