東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Artificial neural networks = methods...

Koprinkova-Hristova, Petia.

FindBook

Google Book

Amazon

博客來

Artificial neural networks = methods and applications in bio-/neuroinformatics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial neural networks/ edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov.
其他題名:	methods and applications in bio-/neuroinformatics /
其他作者:	Koprinkova-Hristova, Petia.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	x, 488 p. :ill. (some col.), digital ;24 cm.
內容註:	Neural Networks Theory and Models -- New Machine Learning Algorithms for Neural Networks -- Pattern Recognition, Classification and other Neural Network Applications.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-09903-3
ISBN:	9783319099033 (electronic bk.)

Artificial neural networks = methods and applications in bio-/neuroinformatics /
Artificial neural networksmethods and applications in bio-/neuroinformatics /[electronic resource] :edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov. - Cham :Springer International Publishing :2015. - x, 488 p. :ill. (some col.), digital ;24 cm. - Springer series in bio-/neuroinformatics,v.42193-9349 ;. - Springer series in bio-/neuroinformatics ;v.3..

Neural Networks Theory and Models -- New Machine Learning Algorithms for Neural Networks -- Pattern Recognition, Classification and other Neural Network Applications.

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

ISBN: 9783319099033 (electronic bk.)

Standard No.: 10.1007/978-3-319-09903-3doiSubjects--Topical Terms:

532070
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.3

Artificial neural networks = methods and applications in bio-/neuroinformatics /
LDR:02994nmm a2200325 a 4500 001 1994239
003 DE-He213
005 20150603090520.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783319099033 (electronic bk.)
020 $a 9783319099026 (paper)
024 7 $a 10.1007/978-3-319-09903-3 $2 doi
035 $a 978-3-319-09903-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.87 $b .I61 2013
245 1 0 $a Artificial neural networks $h [electronic resource] : $b methods and applications in bio-/neuroinformatics / $c edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 488 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in bio-/neuroinformatics, $x 2193-9349 ; $v v.4
505 0 $a Neural Networks Theory and Models -- New Machine Learning Algorithms for Neural Networks -- Pattern Recognition, Classification and other Neural Network Applications.
520 $a The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
650 0 $a Neural networks (Computer science) $3 532070
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Computational Biology/Bioinformatics. $3 898313
650 2 4 $a Control. $3 1006321
650 2 4 $a Neurosciences. $3 588700
700 1 $a Koprinkova-Hristova, Petia. $3 2068414
700 1 $a Mladenov, Valeri. $3 1084662
700 1 $a Kasabov, Nikola K. $3 570387
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer series in bio-/neuroinformatics ; $v v.3. $3 2132558
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-09903-3
950 $a Engineering (Springer-11647)