Intelligent Techniques for Data Modeling Problems: Nature inspired meta-heuristics and learning models applied to time series modeling and forecasting
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- @Book{Bautu:book,
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author = "Elena Bautu",
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title = "Intelligent Techniques for Data Modeling Problems:
Nature inspired meta-heuristics and learning models
applied to time series modeling and forecasting",
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publisher = "Lambert Academic Publishing",
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year = "2012",
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address = "Moldova",
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month = "20 " # mar,
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming",
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isbn13 = "978-3-8484-3479-4",
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URL = "https://www.lap-publishing.com/catalog/details/store/ru/book/978-3-8484-3479-4/intelligent-techniques-for-data-modeling-problems?search=978-3-8484-3479-4",
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URL = "https://www.amazon.com/Intelligent-Techniques-Data-Modeling-Problems/dp/3848434792",
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size = "224 pages",
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abstract = "Supervised learning deals with the problem of
discovering models from data as relationships between
input and output attributes. Two types of models are
distinguished: regression models (for continuous output
attributes) and classification models (for discrete
output attributes). This thesis addresses both
regression and classification problems with an emphasis
on new applications and on presenting improved
evolutionary techniques. Such techniques include Gene
Expression Programming (classical and its adaptive
version), Genetic Programming, and the hypernetwork
model of learning (classical and its evolutionary
version). Such methods can be successfully applied to
many problems from various domains. This thesis
presents applications for symbolic regression for
inverse problems, quantum circuit design, modeling of
dynamic processes, and forecasting price movement.",
- }
Genetic Programming entries for
Elena Bautu
Citations