LEADER 03321nam 2200469 450 001 9910766885603321 005 20231207234528.0 010 $a3-031-47712-X 035 $a(MiAaPQ)EBC30971146 035 $a(Au-PeEL)EBL30971146 035 $a(EXLCZ)9929038519800041 100 $a20231207d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks /$fFevrier Valdez, Juan Barraza, and Patricia Melin 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (112 pages) 225 1 $aSpringerBriefs in Applied Sciences and Technology Series 311 08$aPrint version: Valdez, Fevrier Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks Cham : Springer,c2024 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Contents -- 1 Introduction to the Hybrid Method Between Fireworks Algorithm and Competitive Neural Network -- References -- 2 Basic Concepts of Neural Networks and Fuzzy Logic -- 2.1 Artificial Neural Networks -- 2.2 Competitive Artificial Neural Network (CNN) -- 2.3 Optimization Algorithms -- 2.4 Fireworks Algorithm (FWA) -- 2.5 Clustering Algorithms -- 2.6 Clustering Index Validation -- 2.7 Fuzzy Logic -- 2.8 Interval Type-2 Fuzzy Logic -- References -- 3 Hybrid Method Between Fireworks Algorithm and Competitive Neural Network -- 3.1 Datasets -- 3.1.1 Iris Dataset -- 3.1.2 Wine Dataset -- 3.1.3 Breast Cancer Wisconsin Diagnostic (WDBC) -- 3.2 Optimization Methods -- 3.2.1 FWAC -- 3.2.2 FFWAC -- 3.2.3 F2FWAC -- 3.3 Clustering Method -- 3.3.1 Competitive Neural Network -- 3.4 Classification Methods (Fuzzy Classifiers) -- 3.4.1 T1FIS-Mamdani and Sugeno Type -- 3.4.2 IT2FIS-Mamdani and Sugeno Type -- References -- 4 Simulation Studies of the Hybrid of Fuzzy Fireworks and Competitive Neural Networks -- 4.1 Optimization Methods -- 4.1.1 Fireworks Algorithm for Clustering (FWAC) -- 4.1.2 Type 1 Fuzzy Logic Fireworks Algorithm for Clustering (FFWAC) -- 4.1.3 Interval Type 2 Fuzzy Logic Fireworks Algorithm for Clustering (F2FFWA) -- 4.2 Classification Methods -- 4.2.1 Type 1 FIS Classifier (T1FIS) -- 4.2.2 Interval Type 2 Fuzzy Logic Classifiers (IT2FIS) -- 4.3 Statistical Comparison Results of the Optimization of the Fuzzy Classification Models -- 5 Conclusions to the Hybrid Method Between Fireworks Algorithm and Competitive Neural Network -- 5.1 Future Works -- Index. 410 0$aSpringerBriefs in applied sciences and technology. 606 $aMachine learning 606 $aNeural networks (Computer science) 615 0$aMachine learning. 615 0$aNeural networks (Computer science) 676 $a006.31 700 $aValdez$b Fevrier$0763074 702 $aBarraza$b Juan 702 $aMelin$b Patricia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910766885603321 996 $aHybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks$93648602 997 $aUNINA