000			04516cam a2200565Mi 4500
001			9781003138341
003			FlBoTFG
005			20240213122831.0
006			m o d
007			cr |||||||||||
008			210606s2021 flua go 000 0 eng d
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a1000432467
020			_a9781000432442 _q(electronic bk.)
020			_a1000432440 _q(electronic bk.)
020			_a9781003138341 _q(ebook)
020			_a1003138349
020			_a9781000432466 _q(electronic bk. : EPUB)
020			_z036768599X
020			_z9780367685997
024	7		_a10.1201/9781003138341 _2doi
035			_a(OCoLC)1262320284
035			_a(OCoLC-P)1262320284
050		4	_aTA345
072		7	_aCOM _x059000 _2bisacsh
072		7	_aMAT _x000000 _2bisacsh
072		7	_aMAT _x003000 _2bisacsh
072		7	_aUB _2bicssc
082	0	4	_a620.0015118 _223
245	0	0	_aSoft Computing Approach for Mathematical Modeling of Engineering Problems _cedited by Ali Ahmadian, Soheil Salahshour.
250			_a1st edition.
264		1	_aBoca Raton : _bCRC Press, _c2021.
300			_a1 online resource _billustrations (black and white)
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
520			_aThis book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state's transition functions Assists readers to become familiar with many soft numerical methods to simulate the solution function's behaviorThis book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia.Soheil Salahshour is an associate professor at Bahcesehir University.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aEngineering _xMathematical models.
650		0	_aEngineering _xData processing.
650		0	_aSoft computing.
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh
650		7	_aMATHEMATICS / General _2bisacsh
650		7	_aMATHEMATICS / Applied _2bisacsh
700	1		_aAhmadian, Ali, _eeditor.
700	1		_aSalahshour, Soheil, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003138341
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5880 _d5880