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  • biological
  • These models capture the essential features of the biological system at multiple spatial-temporal scales, from membrane currents, protein and chemical coupling to network oscillations, columnar and topographic architecture and learning and memory. (bionity.com)
  • predict
  • After training, testing and validating the model using past horizontal data, the developed network was applied to predict the volume flow rate and research octane number (RON) of the future horizontal data versus days on stream. (academicjournals.org)
  • This paper investigates the profitability of a trading strategy, based on recurrent neural networks, that attempts to predict the direction-of-change of the market in the case of the NASDAQ composite index. (repec.org)
  • automata
  • To discuss the unique characteristics of the architecture and their consequences, we present two examples: i) the design of a Central Pattern Generator from a finite-state locomotive controller, and ii) the creation of a network simulating a system of interactive automata that supports the parsing of garden-path sentences as investigated in psycholinguistics experiments. (researchgate.net)
  • architecture
  • The mapping defines an architecture characterized by its granular modularity, where data, symbolic operations and their control are not only distinguishable in activation space, but also spatially localizable in the network itself, while maintaining a distributed encoding of symbolic representations. (researchgate.net)
  • A Low Latency Digital Neural Network Architecture (W. Fornaciari, F. Salice). (barnesandnoble.com)
  • type
  • those are specific to the type of neural network you're using, the most common pair being a weighted-sum accumulator ( add each input times its weight) and sigmoidal output function (1/1-e^(-x) I think). (gamedev.net)
  • basic
  • The basic feature of the neural networks is the interconnection of some simple computing elements in a very dense network and this gives the so-called collective emergent computing capabilities . (igi-global.com)
  • population
  • It is based on the evolution of patterns that represent candidate solutions to a problem, and are stored and reproduced by a population of attractor networks. (frontiersin.org)
  • content
  • Compared with scene text, the artificial one usually provides brief and direct description of video content, which is important for automatic broadcast annotation. (mdpi.com)