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Nonlinear regression: a hybrid model
Computers & Operations Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2019
This chapter is a case study of Carroll Community College, a small rural community college, and its plan to develop a viable travel program by using a hybrid model. This model includes three distinct cohorts: study abroad students (students who travel and take an associated credit course), lifelong learning students (travelers who take a continuing ...
William David Fell, Siobhan Wright
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This chapter is a case study of Carroll Community College, a small rural community college, and its plan to develop a viable travel program by using a hybrid model. This model includes three distinct cohorts: study abroad students (students who travel and take an associated credit course), lifelong learning students (travelers who take a continuing ...
William David Fell, Siobhan Wright
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2016
Chapter 11 discusses hybrid models, considering electrons as a fluid and following ions as particles.
Taccogna F, Minelli P
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Chapter 11 discusses hybrid models, considering electrons as a fluid and following ions as particles.
Taccogna F, Minelli P
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Hybrid Multilinear Modeling and Applications
2014Tensor systems are a framework for modeling of multilinear hybrid systems with discrete and continuous valued signals. Two examples from building services engineering and multi-agent systems show applications of this framework. A tensor model of a heating system is derived and approximated by tensor decomposition methods first.
Georg Pangalos +2 more
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2010
The modeling practices of constraint programming (CP), artificial intelligence, and operations research must be reconciled and integrated if the computational benefits of combining their solution methods are to be realized in practice. This chapter focuses on CP and mixed integer/linear programming (MILP), in which modeling systems are most highly ...
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The modeling practices of constraint programming (CP), artificial intelligence, and operations research must be reconciled and integrated if the computational benefits of combining their solution methods are to be realized in practice. This chapter focuses on CP and mixed integer/linear programming (MILP), in which modeling systems are most highly ...
openaire +1 more source
2018 Winter Simulation Conference (WSC), 2018
Mariusz Balaban, Pawel Mielniczek
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Mariusz Balaban, Pawel Mielniczek
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2014
Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way.
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Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way.
openaire +1 more source