Calibrating artificial neural networks by global optimization
dc.contributor.author | Pinter, Janos D. | |
dc.date.accessioned | 2010-10-13T13:33:35Z | |
dc.date.available | 2010-10-13T13:33:35Z | |
dc.date.issued | 2010-07 | |
dc.identifier.uri | http://hdl.handle.net/10679/124 | |
dc.identifier.uri | http://www.optimization-online.org/DB_HTML/2010/07/2685.html | |
dc.description | Özyeğin University Technical Report | en_US |
dc.description.abstract | An artificial neural network (ANN) is a computational model − implemented as a computer program − that is aimed at emulating the key features and operations of biological neural networks. ANNs are extensively used to model unknown or unspecified functional relationships between the input and output of a “black box” system. In order to apply such a generic procedure to actual decision problems, a key requirement isANN training to minimize the discrepancy between modeled and measured system output. In this work, we consider ANN training as a (potentially) multi-modal optimization problem. To address this issue, we introduce a global optimization (GO) framework and corresponding GO software. The practical viability of the GO based approach is illustrated by finding close numerical approximations of (one-dimensional, but non-trivial) functions. | en_US |
dc.language.iso | eng | en_US |
dc.rights | openAccess | |
dc.title | Calibrating artificial neural networks by global optimization | en_US |
dc.type | Technical report | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID & YÖK ID 202094) Pinter, Janos | |
dc.contributor.ozuauthor | Pinter, Janos D. | |
dc.subject.keywords | Artificial neural networks | en_US |
dc.subject.keywords | ANN model calibration by global optimization | en_US |
dc.subject.keywords | Lipschitz Global Optimizer (LGO) solver suite | en_US |
dc.subject.keywords | ANN implementation in Mathematica | en_US |
dc.subject.keywords | MathOptimizer Professional | en_US |
dc.subject.keywords | Illustrative numerical examples | en_US |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Technical Report - Institutional Academic Staff |
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