caa a22 4500 477072917 CHVBK 20180405111431.0 cr unu---uuuuu 170330e19960901xx s 000 0 eng 10.1007/BF01414879 doi (NATIONALLICENCE)springer-10.1007/BF01414879 Wang Shouhong Faculty of Business, University of New Brunswick, E2L 4L5, Saint John, NB, Canada aut Neural controller for business yield management [Elektronische Daten] [Shouhong Wang] In the business and operational research field there is a class of perishable inventory control problems called ‘yield management'. Examples are floating pricing strategies in air ticket reservation and hotel room booking. Due to the complex nature of yield management, there are few analytical models available for practical application. This paper presents a neural network approach to solving yield management problems. Using modified back propagation neural networks, a threshold band in the high-dimensional yield management space is generated based on historical data and/or management expertise. When the actual inventory level is outside the threshold band, prices should be adjusted to lead the inventory level back to the threshold band. The interval of the threshold band indicates the stability of the business system. Springer-Verlag London Limited, 1996 Business yield management nationallicence Curve fitting nationallicence Neural control nationallicence Operational research nationallicence Neural Computing & Applications Springer-Verlag 4/3(1996-09-01), 183-189 0941-0643 4:3<183 1996 4 521 https://doi.org/10.1007/BF01414879 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01414879 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Wang Shouhong Faculty of Business, University of New Brunswick, E2L 4L5, Saint John, NB, Canada aut NATIONALLICENCE 773 0- Neural Computing & Applications Springer-Verlag 4/3(1996-09-01), 183-189 0941-0643 4:3<183 1996 4 521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer