Written in English
Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to musical signal analysis and to the recognition of musical sounds and phrases. Accordingly, some methods based on such learning algorithms as neural networks, rough sets and fuzzy-logic were conceived, implemented and tested. Additionally, the above-mentioned methods were applied to the analysis and verification of subjective testing results. The last problem discussed within the framework of this book was the problem of fuzzy control of the classical pipe organ instrument. The obtained results show that computational intelligence and soft computing may be used for solving some vital problems in both musical and architectural acoustics.
|Series||Studies in Fuzziness and Soft Computing -- vol.31, Studies in fuzziness and soft computing -- v.31.|
|LC Classifications||ML3805 .K79 1999|
|The Physical Object|
|Pagination||1 online resource (xv, 244 pages).|
|Number of Pages||244|
|ISBN 10||9783790818758, 9783662130056|
Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to musical signal analysis and to the recognition of musical sounds and phrases. Accordingly, some. Buy Soft Computing in Acoustics: Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics (Studies in Fuzziness and Soft Computing) by Kostek, Bozena (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible : Bozena Kostek. Bathroom Acoustics Reflections Indoors Two-Wall Resonance Waves vs. Rays Frequency Regions Dividing the Audio Spectrum Wave Acoustics Mode calculations—An example Experimental Verification Mode Identification Mode Decay Mode Bandwidth Mode Pressure Plots Modal Density We describe in this book, new methods for building intelligent systems for pattern recognition using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several.
Among the literature on acoustics the book of Pierce  is an excellent introduction available for a low price from the Acoustical Society of America. In the preparation of the lecture notes we consulted various books which cover different aspects of the problem [15, 17, 19, 39, 50, 72, 89, 95, , , , , , , , , ]. This well-organized and clearly-presented book offers a detailed understanding of the constituent methodologies underlying neuro-fuzzy and soft computing-an evolving branch of computational intelligence which is aimed at solving real-world decision making, modeling, and control problems.5/5(2). This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the s: 9. acoustics point of view, When logarithmic scales are used in plots, as will frequently be done in this book, it will be acoustic energy than a porous, soft surface.
is a platform for academics to share research papers. This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as. Soft computing in acoustics: applications of neural networks, fuzzy logic and rough sets to musical acoustics. [Boz̊ena Kostek] -- Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to. Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.