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Small Sample Modelling Based (6 results)
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Paperback. Condition: Brand New. 250 pages. 9.00x6.00x9.02 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Small Sample Modelling Based on Deep and Broad Forest Regression (Paperback)
Language: English
Published by Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443315647 ISBN 13: 9780443315640
Paperback. Condition: new. Paperback. Small Sample Modelling Based on Deep and Broad Forest Regression: Theory and Industrial Application delves into tree-structured methods in the industrial sector, encompassing classical ensemble learning, tree-structured deep forest classification, and broad learning systems with neural networks. It introduces an innovative deep/broad learning algorithm for small-sample industrial modeling tasks. The book is divided into two parts: methodology and practical application in dioxin emission modeling. Methodology sections include Preliminaries, Deep Forest Regression, Broad Forest Regression, and Fuzzy Forest Regression. The application part focuses on modeling dioxin emissions in municipal solid waste incineration. Throughout, various tree-structured strategies are presented, and the authors provide software systems for validating these methods. This book is suitable for advanced undergraduates, graduate engineering students, and practicing engineers looking for self-study resources. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
