Wyniki wyszukiwania:
wyszukanych pozycji: 7
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Computational Learning Approaches to Data Analytics in Biomedical Applications
ISBN: 9780128144824 / Angielski / Twarda / 2019 / 310 str. Termin realizacji zamówienia: ok. 30 dni roboczych (Dostawa w 2026 r.) |
cena:
573,23 |
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Unified Computational Intelligence for Complex Systems
ISBN: 9783642031793 / Angielski / Twarda / 2010 / 150 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) Providing an overview of the use of unified computational intelligence in a complex environment, this text examines the topic in the context of economic, financial and social dynamics.
Providing an overview of the use of unified computational intelligence in a complex environment, this text examines the topic in the context of econom...
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cena:
402,53 |
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Unified Computational Intelligence for Complex Systems
ISBN: 9783642263958 / Angielski / Miękka / 2012 / 150 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) This is the first book to present a computational intelligence architecture capable of learning in unsupervised, supervised, or reinforcement learning modes. It is also the first to cover applications of time scales mathematics to engineering applications.
This is the first book to present a computational intelligence architecture capable of learning in unsupervised, supervised, or reinforcement learning...
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cena:
402,53 |
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Neural Networks and Micromechanics
ISBN: 9783642025341 / Angielski / Twarda / 2009 / 221 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) This is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of micromechanics. The book is organized into chapters on classic neural networks and novel neural classifiers; recognition of textures and object forms; micromechanics; and adaptive algorithms with neural and image recognition applications. The authors include theoretical analysis of the proposed approach, they describe their machine tool prototypes in detail, and they present results from experiments involving microassembly, and handwriting and...
This is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of mi...
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cena:
402,53 |
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Neural Networks and Micromechanics
ISBN: 9783642426117 / Angielski / Miękka / 2014 / 221 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) Micromechanical manufacturing based on microequipment creates new possibi- ties in goods production. If microequipment sizes are comparable to the sizes of the microdevices to be produced, it is possible to decrease the cost of production drastically. The main components of the production cost - material, energy, space consumption, equipment, and maintenance - decrease with the scaling down of equipment sizes. To obtain really inexpensive production, labor costs must be reduced to almost zero. For this purpose, fully automated microfactories will be developed. To create fully automated...
Micromechanical manufacturing based on microequipment creates new possibi- ties in goods production. If microequipment sizes are comparable to the siz...
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cena:
402,53 |
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Intelligent Automation in Renewable Energy
ISBN: 9783030022358 / Angielski / Twarda / 2019 / 285 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) |
cena:
603,81 |
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Principal Manifolds for Data Visualization and Dimension Reduction
ISBN: 9783540737490 / Angielski / Miękka / 2007 / 340 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Dostawa w 2026 r.) In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology... In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, vis... |
cena:
925,87 |
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