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[null,"1.","Record Nr.",null,"UNISA996392092003316"]
[null,null,"Titolo",null,"By the King, a proclamation, for the careful custody and well-ordering of the New River, brought from Chadwell and Amwell to the north-part of the City of London [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"London, : printed by John Baskett, printer to the Kings most excellent Majesty, and by the assigns of Thomas Newcomb, and Henry Hills, deceas'd, 1715"]
[null,null,"Descrizione fisica",null,"1 sheet ([1] p.)"]
[null,null,"Soggetti",null,"Inland navigation - Great Britain"]
[{"$nulls":4},"Great Britain History George I, 1714-1727 Early works to 1800"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Given at our court at St. James's the twenty ninth day of March, 1715.\"."]
[{"$nulls":4},"Steele notation: Fourth that Dis-. Press figure A under imprint. Arms has unicorn's tail in three points and a motto."]
[{"$nulls":4},"Reproduction of original in the British Library."]
[null,null,null,"Sommario/riassunto","eebo-0018"]
[null,"2.","Record Nr.",null,"UNINA9910437919903321"]
[null,null,"Autore",null,"Suresh Sundaram"]
[null,null,"Titolo",null,"Supervised learning with complex-valued neural networks / / Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha"]
[null,null,"Pubbl/distr/stampa",null,"Heidelberg ; ; New York, : Springer, c2013"]
[null,null,"ISBN",null,"9783642294914"]
[{"$nulls":4},"364229491X"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXII, 170 p.)"]
[null,null,"Collana",null,"Studies in computational intelligence, , 1860-949X ; ; 421"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Supervised learning (Machine learning)"]
[{"$nulls":4},"Neural networks (Computer science)"]
[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","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction -- Fully Complex-valued Multi Layer Perceptron Networks -- Fully Complex-valued Radial Basis Function Networks -- Performance Study on Complex-valued Function Approximation Problems -- Circular Complex-valued Extreme Learning Machine Classifier -- Performance Study on Real-valued Classification Problems -- Complex-valued Self-regulatory Resource Allocation Network -- Conclusions and Scope for FutureWorks (CSRAN)."]
[null,null,null,"Sommario/riassunto","Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks.  Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to develop complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This monograph comprises a collection of new supervised learning algorithms along with novel architectures for complex-valued neural networks. The concepts of meta-cognition equipped with a self-regulated learning have been known to be the best human learning strategy. In this monograph, the principles of meta-cognition have been introduced for complex-valued neural networks in both the batch and sequential learning modes. For applications where the computation time of the training process is critical, a fast learning complex-valued neural network called as a fully complex-valued relaxation network "]
[{"$nulls":4},"along with its learning algorithm has been presented. The presence of orthogonal decision boundaries helps complex-valued neural networks to outperform real-valued networks in performing classification tasks. This aspect has been highlighted. The performances of various complex-valued neural networks are evaluated on a set of benchmark and real-world function approximation and real-valued classification problems."]
[null,"3.","Record Nr.",null,"UNIORUON00498598"]
[null,null,"Autore",null,"MOD (Società italiana per lo Studio della Modernità letteraria)"]
[null,null,"Titolo",null,"Geografie della modernità letteraria : atti del 17. Convegno Internazionale della Mod, 10-13 giugno 2015 / a cura di Siriana Sgavicchia e Massimiliano Tortora"]
[null,null,"Pubbl/distr/stampa",null,"Pisa, : ETS, c2017"]
[null,null,"ISBN",null,"978-88-467-4573-6"]
[null,null,"Descrizione fisica",null,"2 v. ; 23 cm"]
[null,null,"Disciplina",null,"850.914"]
[null,null,"Soggetti",null,"CONGRESSI E CONVEGNI - Perugia - 10-13 giugno 2015"]
[{"$nulls":4},"Letteratura e geografia - Congressi - Perugia - 2015"]
[{"$nulls":4},"Letteratura italiana - Sec. 20.-21. - Congressi - Perugia - 2015"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]