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Artificial neural networks [electronic resource] : methods and applications in bio-/neuroinformatics

Artificial neural networks [electronic resource] : methods and applications in bio-/neuroinformatics

자료유형
E-Book(소장)
개인저자
Koprinkova-Hristova, Petia. Mladenov, Valeri. Kasabov, Nikola K.
서명 / 저자사항
Artificial neural networks [electronic resource] : methods and applications in bio-/neuroinformatics / edited by Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
형태사항
1 online resource (488 p.) : ill. (some col.).
총서사항
Springer series in bio-/neuroinformatics,2193-9349, 2193-9357 (electronic) ; 4
ISBN
9783319099033
요약
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.  .
일반주기
Title from e-Book title page.  
내용주기
Neural Networks Theory and Models -- New Machine Learning Algorithms for Neural Networks -- Pattern Recognition, Classification and other Neural Network Applications.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
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URL
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020 ▼a 9783319099033
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245 0 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 1 online resource (488 p.) : ▼b ill. (some col.).
490 1 ▼a Springer series in bio-/neuroinformatics, ▼x 2193-9349, ▼x 2193-9357 (electronic) ; ▼v 4
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.  .
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
700 1 ▼a Koprinkova-Hristova, Petia.
700 1 ▼a Mladenov, Valeri.
700 1 ▼a Kasabov, Nikola K.
830 0 ▼a Springer series in bio-/neuroinformatics ; ▼v 4.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-09903-3
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.32 등록번호 E14025832 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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