Search Results - dynamic-programming algorithms
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1
Self-Learning Optimal Control of Nonlinear Systems Adaptive Dynamic Programming Approach /
ISBN: 9789811040801ISSN: 2198-4182 ;Published: Singapore : Springer Singapore , 2018.Table of Contents: “…Nonlinear Neuro-Optimal Tracking Control Via Stable Iterative Q-Learning Algorithm -- Chapter 6. Model-Free Multiobjective Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems with General Performance Index Functions -- Chapter 7. …”
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2
Operational Research IO2017, Valença, Portugal, June 28-30 /
ISBN: 9783319715834ISSN: 2194-1009 ;Published: Cham : Springer International Publishing, 2018.Table of Contents: “…Oliveira and Maria Antónia Carravilla and José F. Oliveira, A dynamic programming approach for integrating dynamic pricing and capacity decisions in a rental context -- Telmo Pinto and Cláudio Alves and José Valério de Carvalho, Models and advanced optimization algorithms for the integrated management of logistics operations -- Tânia Rodrigues Pereira Ramos and Carolina Soares de Morais and Ana Paula Barbosa-Póvoa, Waste collection planning based on real-time information -- António G. …”
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3
Good Habits for Great Coding Improving Programming Skills with Examples in Python /
ISBN: 9781484234594Published: Berkeley, CA : Apress, 2018.Table of Contents: “…Problem Solving -- 21. Dynamic Programming.…”
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4
Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation
ISBN: 9783319731773ISSN: 2198-4182 ;Published: Cham : Springer International Publishing, 2018.
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5
Intelligent Optimal Adaptive Control for Mechatronic Systems
ISBN: 9783319688268ISSN: 2198-4182 ;Published: Cham : Springer International Publishing, 2018.
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6
Advances in Feature Selection for Data and Pattern Recognition
ISBN: 9783319675886ISSN: 1868-4394 ;Published: Cham : Springer International Publishing, 2018.Table of Contents: “…An Introduction -- Attribute Selection Based on Reduction of Numerical Attribute During Discretization -- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning -- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach -- Ranking-Based Rule Classifier Optimisation -- Attribute Selection in a Dispersed Decision-Making System -- Feature Selection Approach for Rule-based Knowledge Bases -- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.…”
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7
Numerical Methods for Optimal Control Problems
ISBN: 9783030019594ISSN: 2281-518X ;Published: Cham : Springer International Publishing, 2018.
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