( en | de | ru )

 

Disambiguation of "Gao, Junjun"

Author of the publication

copydeleteadd this publication to your clipboard
Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting.

, , , , , and . J. Intell. Fuzzy Syst., 31 (2): 825-836 (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Junjun Chen

JunJun Pan

Zhigang Gao

Gao Guo

Yi Gao

 

Other publications of authors with the same name

Wideband MIMO channel capacity analysis based on indoor channel measurement., , and . WCNC, page 2914-2919. IEEE, (2013)Mixed Entropy Model Enhanced Residual Attention Network for Remote Sensing Image Compression., , , , and . Neural Process. Lett., 55 (7): 10117-10129 (December 2023)Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting., , , , , and . J. Intell. Fuzzy Syst., 31 (2): 825-836 (2016)Measurement-Based Multiplexing Mode Selection for Codebook-Based MIMO Systems., , and . VTC Fall, page 1-5. IEEE, (2013)Estimation of adjacent substitution rate based on clustering algorithm and its application., , , , and . ICNC-FSKD, page 794-800. IEEE, (2016)Demand Chain Strategy and Chinese Firm Performance: Role of IT Analytic Capability and Product Life Cycle., , and . Int. J. Inf. Syst. Supply Chain Manag., 14 (4): 94-119 (2021)Architecture of Demand Forecast for Online Retailers in China Based on Big Data., , , and . HCC, volume 9567 of Lecture Notes in Computer Science, page 759-764. Springer, (2016)Demand Forecasting by Using Support Vector Machine., , , and . ICNC (3), page 272-276. IEEE Computer Society, (2007)Budgeted Influence Maximization via Boost Simulated Annealing in Social Networks., , , and . CoRR, (2022)Selective and Heterogeneous SVM Ensemble for Demand Forecasting., , , , , and . CIT, page 1519-1524. IEEE Computer Society, (2010)