LEADER 04071nam 2200481 450 001 9910427687103321 005 20220719130155.0 010 $a3-030-47439-9 024 7 $a10.1007/978-3-030-47439-3 035 $a(CKB)4100000011435794 035 $a(DE-He213)978-3-030-47439-3 035 $a(MiAaPQ)EBC6347278 035 $a(PPN)252511514 035 $a(EXLCZ)994100000011435794 100 $a20210209d2020 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNonlinear system identification $efrom classical approaches to neural networks, fuzzy models, and Gaussian processes /$fOliver Nelles 205 $aSecond edition. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XXVIII, 1225 p. 670 illus., 179 illus. in color.) 311 $a3-030-47438-0 327 $aIntroduction -- Part One Optimization -- Introduction to Optimization -- Linear Optimization -- Nonlinear Local Optimization -- Nonlinear Global Optimization -- Unsupervised Learning Techniques -- Model Complexity Optimization -- Summary of Part 1 -- Part Two Static Models -- Introduction to Static Models -- Linear, Polynomial, and Look-Up Table Models -- Neural Networks -- Fuzzy and Neuro-Fuzzy Models -- Local Linear Neuro-Fuzzy Models: Fundamentals -- Local Linear Neuro-Fuzzy Models: Advanced Aspects -- Input Selection for Local Model Approaches -- Gaussian Process Models (GPMs) -- Summary of Part Two -- Part Three Dynamic Models -- Linear Dynamic System Identification -- Nonlinear Dynamic System Identification -- Classical Polynomial Approaches.-Dynamic Neural and Fuzzy Models -- Dynamic Local Linear Neuro-Fuzzy Models -- Neural Networks with Internal Dynamics -- Part Five Applications -- Applications of Static Models -- Applications of Dynamic Models -- Design of Experiments -- Input Selection Applications -- Applications of Advanced Methods -- LMN Toolbox -- Vectors and Matrices -- Statistics -- Reference -- Index. 330 $aThis book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice. Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. With the advent of neural networks, fuzzy models, Gaussian process models, and modern structure optimization techniques, a much broader class of systems can now be handled. Although one major aspect of nonlinear systems is that virtually every one is unique, tools have since been developed that allow each approach to be applied to a wide variety of systems. . 606 $aSystem identification 606 $aNonlinear systems 606 $aAutomatic control engineering 615 0$aSystem identification. 615 0$aNonlinear systems. 615 0$aAutomatic control engineering. 676 $a003 700 $aNelles$b Oliver$f1969-$044047 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427687103321 996 $aNonlinear system identification$9357507 997 $aUNINA LEADER 01240nam a2200277 i 4500 001 991000836649707536 005 20020507102112.0 008 951020s1983 at ||| | eng 035 $ab10136447-39ule_inst 035 $aLE00637677$9ExL 040 $aDip.to Fisica$bita 084 $a53.9.7 084 $a53.9.786 111 2 $aInternational Symposium on biological effects of low-level radiation$0461255 245 10$aBiological effects of low-level radiation :$bproceedings of an International Symposium held in Venise (April 1983) /$cjointly organized by the International Atomic Energy Agency and the World Health Organization 260 $aVienna :$bIAEA,$c1983 300 $a682 p. :$bill. ;$c24 cm. 650 4$aRadiation effects$xCongresses 710 2 $aInternational atomic energy agency $eauthor$4http://id.loc.gov/vocabulary/relators/aut$012873 710 2 $aWorld Health Organization 907 $a.b10136447$b21-09-06$c27-06-02 912 $a991000836649707536 945 $aLE006 53.9.7 IAE$g1$i2006000056205$lle006$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i10161016$z27-06-02 996 $aBiological effects of low-level radiation$91444736 997 $aUNISALENTO 998 $ale006$b01-01-95$cm$da $e-$feng$gat $h0$i1 LEADER 00914nam a2200241 i 4500 001 991004312923507536 005 20240418110518.0 008 240403s1994 it e 000 0 ita d 020 $a8820488426 040 $aBibl. Dip.le Aggr. Scienze Giuridiche - Sez. Centro Studi sul Rischio$bita 082 0 $a363.34$219 100 1 $aPappalardo, Sergio$0141936 245 03$aUn terremoto per amico :$bpotere, trasgressioni e dispute dopo una calamità naturale /$cSergio Pappalardo ; presentazione di Vincenzo Ferrari 260 $aMilano :$bAngeli,$c1994 300 $a488 p.$c22 cm 490 1 $aCollana di sociologia del diritto ;$v24 504 $aBibliogr.: p. 477-488 650 7$aTerremoti$xAspetti sociali$zItalia$ySec.20 650 7$aTerremoti$xAspetti sociali 830 0$aCollana di sociologia del diritto ;$v24 912 $a991004312923507536 996 $aTerremoto per amico$9647738 997 $aUNISALENTO