ISBN: 9781402074271 - software engineering with computational intelligence: 731 (the springer international series in engineering and computer science, 731) (16 resultados)

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Condición: Used. pp. 376 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

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Condición: New. The software engineering field has observed an increased integration with the Computational Intelligence (CI) field, which is comprised of the mature technologies of fuzzy logic, artificial neural networks and rough sets. This book contains contributions that focus on applying CI techniques to address various software engineering problems. Editor(s): Khoshgoftaar, Taghi M. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 361 pages, biography. BIC Classification: UG; UMZ; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 703. . 2003. Hardback. . . . .…

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Gebunden. Condición: New. The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet th.

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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Condición: New. The software engineering field has observed an increased integration with the Computational Intelligence (CI) field, which is comprised of the mature technologies of fuzzy logic, artificial neural networks and rough sets. This book contains contributions that focus on applying CI techniques to address various software engineering problems. Editor(s): Khoshgoftaar, Taghi M. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 361 pages, biography. BIC Classification: UG; UMZ; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 703. . 2003. Hardback. . . . . Books ship from the US and Ireland.…

Buch. Condición: Neu. Neuware - The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and softwaretesting.…