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001442124 001__ 1442124
001442124 003__ OCoLC
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001442124 019__ $$a1263872984$$a1287774210
001442124 020__ $$a9783030822194$$q(electronic bk.)
001442124 020__ $$a3030822192$$q(electronic bk.)
001442124 020__ $$z9783030822187
001442124 020__ $$z3030822184
001442124 0247_ $$a10.1007/978-3-030-82219-4$$2doi
001442124 035__ $$aSP(OCoLC)1263743943
001442124 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dDCT$$dN$T$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001442124 049__ $$aISEA
001442124 050_4 $$aR859.7.F89$$bM45 2022
001442124 08204 $$a610.1/511322$$223
001442124 1001_ $$aMelin, Patricia,$$d1962-$$eauthor.
001442124 24510 $$aNature-inspired optimization of Type-2 fuzzy neural hybrid models for classification in medical diagnosis /$$cPatricia Melin, Ivette Miramontes, German Prado Arechiga.
001442124 264_1 $$aCham :$$bSpringer,$$c[2022]
001442124 264_4 $$c©2022
001442124 300__ $$a1 online resource :$$billustrations (some color)
001442124 336__ $$atext$$btxt$$2rdacontent
001442124 337__ $$acomputer$$bc$$2rdamedia
001442124 338__ $$aonline resource$$bcr$$2rdacarrier
001442124 347__ $$atext file
001442124 347__ $$bPDF
001442124 4901_ $$aSpringerBriefs in applied sciences and technology. SpringerBriefs in computational intelligence,$$x2625-3704
001442124 504__ $$aIncludes bibliographical references and index.
001442124 506__ $$aAccess limited to authorized users.
001442124 520__ $$aThis book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.
001442124 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 23, 2021).
001442124 650_0 $$aFuzzy systems in medicine.
001442124 650_0 $$aDiagnosis$$xData processing.
001442124 650_0 $$aSoft computing.
001442124 650_6 $$aSystèmes flous en médecine.
001442124 650_6 $$aDiagnostics$$xInformatique.
001442124 650_6 $$aInformatique douce.
001442124 655_0 $$aElectronic books.
001442124 7001_ $$aMiramontes, Ivette,$$eauthor.
001442124 7001_ $$aPrado-Arechiga, German,$$eauthor.
001442124 77608 $$iPrint version:$$z3030822184$$z9783030822187$$w(OCoLC)1258655681
001442124 830_0 $$aSpringerBriefs in applied sciences and technology.$$pComputational intelligence.$$x2625-3704
001442124 852__ $$bebk
001442124 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82219-4$$zOnline Access$$91397441.1
001442124 909CO $$ooai:library.usi.edu:1442124$$pGLOBAL_SET
001442124 980__ $$aBIB
001442124 980__ $$aEBOOK
001442124 982__ $$aEbook
001442124 983__ $$aOnline
001442124 994__ $$a92$$bISE