Predicting Fluid Work Demand in Service Organizations Using AI Techniques
暂无分享,去创建一个
[1] Neil F. Doherty,et al. Transforming Field and Service Operations, Methodologies for Successful Technology-Driven Business Transformation , 2013 .
[2] S. Meenakshi,et al. Efficient taxi dispatching system in distributed environment , 2017, 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC).
[3] Olgun Aydin,et al. Using LSTM networks to predict engine condition on large scale data processing framework , 2017, 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE).
[4] Christos Voudouris. Defining and Understanding Service Chain Management , 2008 .
[5] Gilbert Owusu,et al. Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms , 2010, SGAI Conf..
[6] V. Barnett,et al. Applied Linear Statistical Models , 1975 .
[7] Jeff Heaton,et al. Encog: library of interchangeable machine learning models for Java and C# , 2015, J. Mach. Learn. Res..
[8] M. W Gardner,et al. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .
[9] Etienne Côme,et al. Short & long term forecasting of multimodal transport passenger flows with machine learning methods , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[10] Hani Hagras,et al. Enhancing Field Service Operations via Fuzzy Automation of Tactical Supply Plan , 2013, Transforming Field and Service Operations.