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[null,"1.","Record Nr.",null,"UNINA9910366621503321"]
[null,null,"Autore",null,"Gopi E. S"]
[null,null,"Titolo",null,"Pattern Recognition and Computational Intelligence Techniques Using Matlab / / by E. S. Gopi"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-22273-X"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (263 pages)"]
[null,null,"Collana",null,"Transactions on Computational Science and Computational Intelligence, , 2569-7072"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Electrical engineering"]
[{"$nulls":4},"Applied mathematics"]
[{"$nulls":4},"Engineering mathematics"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Pattern perception"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Communications Engineering, Networks"]
[{"$nulls":4},"Mathematical and Computational Engineering"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Chapter1: Dimensionality Reduction Techniques -- Chapter2: Linear classifier techniques -- Chapter3: Regression techniques. Chapter4: Probabilistic supervised classifier and unsupervised clustering -- Chapter5: Computational intelligence -- Chapter6: Statistical test in pattern recognition."]
[null,null,null,"Sommario/riassunto","This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are "]
[{"$nulls":4},"given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence."]