Key Points of Computational Neuroscience in Circulation Service Innovation of University Library

Aiqun Wang, Zicong He, Yilin Wang

Ekoloji, 2019, Issue 108, Pages: 439-443

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Abstract

This article researched the main points of innovation of circulation service of university library. RFID technology was applied to a university library and a “simplified” self-service system based on RFID circulation service system was designed to compare the whole difference before and after this design. By calculating the genetic algorithm in neuroscience, the volume of circulation of this library was predicted. Through the circulation data, the designed method had applicability, which improved the self-help ability of reader and the satisfaction rate of reader. Meanwhile, the prediction data was reliable, which provided the basis for the scientific management of library circulation service.

References

  • Bouchard KE, Aimone JB, Chun M, et al. (2016) High-Performance computing in neuroscience for data-driven discovery, integration, and dissemination. Neuron (3): 628-631.
  • Fernando S, Yamada K, Marasinghe A (2010) Neuroscience inspired architecture for neural computing. International conference on humans and computers. University of Aizu Press 100-105.
  • Halchenko YO, Hanke M (2012) Open is not enough. Let’s take the next step: an integrated, community-driven computing platform for neuroscience. Frontiers in Neuroinformatics (6): 22.
  • Mcneese MD (2001) The use of ubiquitous computing/computational neuroscience for distributed battlefield management. SAGE Publications 473-477.
  • Mu J (2019) Research on the Construction Mode of University Library from the Perspective of Ecological Environment Aesthetic Paradigm. Ekoloji 28 (UNSP e107170107): 1473-1479.
  • Wang Q (2019) Study on Service Innovation of University Library on the Basis of Ubiquitous Knowledge Ecosystem. Ekoloji 28 (UNSP e107461107): 4145-4152.
  • Wermter S, Austin J, Willshaw DJ (2001) Emergent neural computational architectures based on neuroscience - towards neuroscience-inspired computing. Lecture Notes in Computer Science: 39-46.