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Bayesian methods for hackers :probabilistic programming and Bayesian inference /Cameron Davidson-Pilon.
New York : Addison-Wesley, 2016
xvi, 226 pages ; 24 cm
Ký hiệu phân loại (DDC): 006.3
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Computational intelligence in software engineering / Witold Pedrycz, James F. Peters
Singapore : World Scientific, 1998
xiii, 485 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 006.3
This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts?With cont
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Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence / Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani
Upper Saddle River, NJ : Prentice Hall, 1997
640 p. ; cm.
Ký hiệu phân loại (DDC): 006.3
Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put
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Solar PV and Wind Energy Conversion Systems : An Introduction to Theory, Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques / S. Sumathi, L. Ashok Kumar, P. Surekha
Cham : Springer, 2015
807 p. ; cm.
Ký hiệu phân loại (DDC): 621.31
This textbook starts with a review of the principles of operation, modeling and control of common solar energy and wind-power generation systems before moving on to discuss grid compatibility, power quality issues and hybrid models of Solar PV and Wind Energy Conversion Systems (WECS). MATLAB/SIMULINK models of fuel cell technology and associated converters are discussed in detail. The impact of soft computing techniques such as neural networks, fuzzy logic, and genetic algorithms in the context of solar and wind energy is explained with practical implementation using MATLAB/SIMULINK models. This book is intended for final year undergraduate, post-graduate and research students interested in understanding the modeling and control of Solar PV and Wind Energy Conversion Systems based on MATLAB/SIMULINK. - Each chapter includes ℓ́ℓLearning Objectivesℓ́ℓ at the start, a ℓ́ℓSummaryℓ́ℓ at the end, and helpful Review Questions - Includes MATLAB/SIMULINK models of different control strategies for power conditioning units in the context of Solar PV - Presents soft computing techniques for Solar PV and WECS, as well as MATLAB/SIMULINK models, e.g. for wind turbine topologies and grid integration - Covers hybrid solar PV and Wind Energy Conversion Systems with converters and MATLAB/SIMULINK models - Reviews harmonic reduction in Solar PV and Wind Energy Conversion Systems in connection with power quality issues - Covers fuel cells and converters with implementation using MATLAB/SIMULINK
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