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001454285 001__ 1454285
001454285 003__ OCoLC
001454285 005__ 20230314003511.0
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001454285 008__ 230201s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001454285 020__ $$a9783031220425$$q(electronic bk.)
001454285 020__ $$a3031220420$$q(electronic bk.)
001454285 020__ $$z3031220412
001454285 020__ $$z9783031220418
001454285 0247_ $$a10.1007/978-3-031-22042-5$$2doi
001454285 035__ $$aSP(OCoLC)1367844801
001454285 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001454285 049__ $$aISEA
001454285 050_4 $$aQA9.64
001454285 08204 $$a511.3/13$$223/eng/20230201
001454285 24500 $$aFuzzy logic and neural networks for hybrid intelligent system design /$$cOscar Castillo, Patricia Melin, editors.
001454285 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001454285 300__ $$a1 online resource (240 pages) :$$billustrations (black and white, and colour).
001454285 336__ $$atext$$btxt$$2rdacontent
001454285 337__ $$acomputer$$bc$$2rdamedia
001454285 338__ $$aonline resource$$bcr$$2rdacarrier
001454285 4901_ $$aStudies in computational intelligence ;$$vvolume 1061
001454285 5050_ $$aOn Decision Making Applications Via Distance Measures -- On Intuitionistic Fuzzy Abstract Algebras -- Generalization of Intuitionistic Fuzzy Submodules of a Module by using Triangular Norms and Conorms and (T, S)-L Subrings -- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation and tests on benchmark functions and Mackey Glass neural network -- Fuzzy classifier using the optimization algorithm by means of particles for the diagnosis of arterial hypertension -- A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem -- A comparison between MFCC and MSE features for text-independent speaker recognition using machine learning algorithms -- Forecasting based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas -- Bio-Inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network -- Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control -- Optimizing a convolutional neural network with a hierarchical genetic algorithm for diabetic retinopathy detection -- Interval Type-3 Fuzzy Systems: a natural evolution from type-1 and type-2 fuzzy systems -- A comparative study between bird swarm algorithm and artificial gorilla troops optimize -- Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification.
001454285 506__ $$aAccess limited to authorized users.
001454285 520__ $$aThis book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.
001454285 588__ $$aDescription based on print version record.
001454285 650_0 $$aFuzzy logic.
001454285 650_0 $$aComputational intelligence.
001454285 650_0 $$aArtificial intelligence.
001454285 650_0 $$aNeural networks (Neurobiology)
001454285 655_0 $$aElectronic books.
001454285 7001_ $$aCastillo, Oscar,$$d1959-$$eeditor.
001454285 7001_ $$aMelin, Patricia,$$d1962-$$eeditor.
001454285 77608 $$iPrint version:$$tFUZZY LOGIC AND NEURAL NETWORKS FOR HYBRID INTELLIGENT SYSTEM DESIGN.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031220412$$w(OCoLC)1348633512
001454285 830_0 $$aStudies in computational intelligence ;$$vv. 1061.
001454285 852__ $$bebk
001454285 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-22042-5$$zOnline Access$$91397441.1
001454285 909CO $$ooai:library.usi.edu:1454285$$pGLOBAL_SET
001454285 980__ $$aBIB
001454285 980__ $$aEBOOK
001454285 982__ $$aEbook
001454285 983__ $$aOnline
001454285 994__ $$a92$$bISE