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020 _a9783030108830
024 7 _a10.1007/978-3-030-10883-0
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA274.7
_b2019 EB
100 1 _aSaghiri, Ali Mohammad
_eautor
_4aut
_9670827
245 1 0 _aIntelligent Random Walk :
_bAn Approach Based on Learning Automata
_cby Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (IX, 55 páginas)
_b31 ilustraciones,16 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aSpringerBriefs in Computational Intelligence
_x2625-3704
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aRandom walk algorithms: Definitions, weaknesses, and learning automata based approach -- Intelligent Models of Random Walk -- Applications -- Conclusions.
520 3 _aThis book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.
650 7 _aMarkov, Procesos de
_9668313
_2embne
700 1 _aKhomami, M. Daliri
_eautor
_4aut
_9670828
700 1 _aMeybodi, Mohammad Reza.
_eautor
_4aut
_9670831
776 0 8 _iPrinted edition:
_z9783030108823
776 0 8 _iPrinted edition:
_z9783030108847
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-10883-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Robotics
998 _aSI
_b09/2019
_cm
_dz
_ea
_feng
_ggw
_h0