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Subject
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Algorithm 1 Algorithmus 1 Australian All Ordinary Index 1 Betriebliche Standortwahl 1 Firm location choice 1 Modified neural network algorithms 1 Network algorithms 1 Probalistic location-routing 1 Shares 1 Stock market 1 Theorie 1 Theory 1 Tourenplanung 1 Trading signals 1 Traveling salesman location problem 1 Vehicle routing problem 1 ecosystems protection 1 firm power 1 linear network algorithms 1 multi-reservoir system 1 optimal flow allocation 1
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Undetermined 2
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Article 3
Type of publication (narrower categories)
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Aufsatz im Buch 1 Book section 1
Language
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Undetermined 2 English 1
Author
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Averbakh, Igor 1 Mammadov, Musa 1 Morris, Sidney 1 Tilakaratne, Chandima 1 Wei, Yu 1 gandolfi, c. 1 guariso, g. 1 togni, d. 1
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Operations research and systems : XVIII Latin-Iberian-American conference on operations research, Claio 2016 1 Water Resources Management 1
Source
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BASE 1 ECONIS (ZBW) 1 RePEc 1
Showing 1 - 3 of 3
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Multi-depot traveling salesmen location problems on networks with special structure
Averbakh, Igor; Wei, Yu - In: Operations research and systems : XVIII …, (pp. 635-648). 2020
Persistent link: https://www.econbiz.de/10012167926
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Modified neural network algorithms for predicting trading signals of stock market indices
Tilakaratne, Chandima; Mammadov, Musa; Morris, Sidney - 2009
The aim of this paper is to present modified neural network algorithms to predict whether it is best to buy, hold, or … modified network algorithms are based on the structure of feed forward neural networks and a modified Ordinary Least Squares …
Persistent link: https://www.econbiz.de/10009484609
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Optimal Flow Allocation in the Zambezi River System
gandolfi, c.; guariso, g.; togni, d. - In: Water Resources Management 11 (1997) 5, pp. 377-393
The optimal flow allocation in the Zambezi system, the largest multi-reservoir water resources system in southern Africa, is analysed. The problem is formulated in network terms and solved with a network flow algorithm. The present configuration of the system is taken as the reference to...
Persistent link: https://www.econbiz.de/10010794488
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