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wyszukanych pozycji: 6
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Fuzzy Model Identification for Control
ISBN: 9781461265795 / Angielski / Miękka / 2012 / 273 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files create a computational platform for exploration of the concepts and algorithms. This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemica... |
cena:
390,87 zł |
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Fuzzy Model Identification for Control
ISBN: 9780817642389 / Angielski / Twarda / 2003 / 273 str. Termin realizacji zamówienia: ok. 20 dni roboczych. Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Although the application of fuzzy models proved to be effective for the approxima tion of uncertain nonlinear processes, the data-driven identification offuzzy models alone sometimes yields complex and unrealistic models. Typically, this is due to the over-parameterization of the model and insufficient in formation content of the identification data set. These difficulties stem from a lack of initial a priori knowledge or information about the...
Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Alth...
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cena:
390,87 zł |
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Are Regions Prepared for Industry 4.0?: The Industry 4.0+ Indicator System for Assessment
ISBN: 9783030531027 / Angielski / Miękka / 2020 / 92 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
cena:
195,42 zł |
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Cluster Analysis for Data Mining and System Identification
ISBN: 9783764379872 / Angielski / Twarda / 2007 / 306 str. Termin realizacji zamówienia: ok. 20 dni roboczych. Dataclusteringisacommontechniqueforstatisticaldataanalysis, whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi?cation of similar objects into di?erent groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait often proximity according to some de?ned distance measure. The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can...
Dataclusteringisacommontechniqueforstatisticaldataanalysis, whichisusedin many ?elds, including machine learning, data mining, pattern recognition, im...
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cena:
390,87 zł |
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Interpretability of Computational Intelligence-Based Regression Models
ISBN: 9783319219417 / Angielski / Miękka / 2015 / 82 str. Termin realizacji zamówienia: ok. 20 dni roboczych. The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals with the identification of hinging hyperplane-based regression trees. The next part deals with the validation, visualization and structural reduction of neural networks based on the transformation of the hidden layer of the network into an additive fuzzy rule base system. Finally, based on the... The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interp... |
cena:
195,42 zł |
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Graph-Based Clustering and Data Visualization Algorithms
ISBN: 9781447151579 / Angielski / Miękka / 2013 / 110 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes clustering and visualization methods that are able to utilize information hidden in these graphs, based...
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize ...
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cena:
234,51 zł |
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