Computational Management: Applications of Computational Intelligence in Business Management: Modeling and Optimization in Science and Technologies, cartea 18
Editat de Srikanta Patnaik, Kayhan Tajeddini, Vipul Jainen Limba Engleză Paperback – 31 mai 2022
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Specificații
ISBN-13: 9783030729318
ISBN-10: 3030729311
Ilustrații: XVIII, 682 p. 168 illus., 114 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.97 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Modeling and Optimization in Science and Technologies
Locul publicării:Cham, Switzerland
ISBN-10: 3030729311
Ilustrații: XVIII, 682 p. 168 illus., 114 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.97 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Modeling and Optimization in Science and Technologies
Locul publicării:Cham, Switzerland
Cuprins
Computational Management: An Overview.- Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint.- Models and Tools of Knowledge Acquisition.- Profits Lie in the Eyes of the Beholder: Entropy-based Volatility Indicators and Portfolio Rotation Strategies.- Asymmetric spill overs between risk and return series: case of CESEE markets.- Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model.- The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States.
Textul de pe ultima copertă
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
Caracteristici
Reports on cutting-edge applications of computational intelligence to business and finance Describes techniques for modeling, forecasting and decision making Cover methods for effective supply chain scheduling