LEADER 03731nam 22006255 450 001 9910254352103321 005 20200705132620.0 010 $a3-319-43871-9 024 7 $a10.1007/978-3-319-43871-9 035 $a(CKB)3710000000872786 035 $a(DE-He213)978-3-319-43871-9 035 $a(MiAaPQ)EBC5577622 035 $a(PPN)195511549 035 $a(EXLCZ)993710000000872786 100 $a20160928d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIssues in the Use of Neural Networks in Information Retrieval /$fby Iuliana F. Iatan 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIX, 199 p. 88 illus., 44 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v661 311 $a3-319-43870-0 320 $aIncludes bibliographical references. 327 $aMathematical Aspects of Using Neural Approaches for Information Retrieval -- A Fuzzy Kwan- Cai Neural Network for Determining Image Similarity and for the Face Recognition -- Predicting Human Personality from Social Media using a Fuzzy Neural Network -- Modern Neural Methods for Function Approximation -- A Fuzzy Gaussian Clifford Neural Network -- Concurrent Fuzzy Neural Networks -- A New Interval Arithmetic Based Neural Network -- A Recurrent Neural Fuzzy Network. 330 $aThis book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality. It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules. Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v661 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeural networks (Computer science)  606 $aPattern recognition 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) . 615 0$aPattern recognition. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aPattern Recognition. 676 $a006.32 700 $aIatan$b Iuliana F$4aut$4http://id.loc.gov/vocabulary/relators/aut$0957754 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254352103321 996 $aIssues in the Use of Neural Networks in Information Retrieval$92169668 997 $aUNINA