By Xiaoming Liu, Bo Li, Jun Liu, Xin Xu, Zhilin Feng (auth.), De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha (eds.)

ISBN-10: 3642315755

ISBN-13: 9783642315756

ISBN-10: 3642315763

ISBN-13: 9783642315763

This ebook constitutes the refereed complaints of the eighth overseas convention on clever Computing, ICIC 2012, held in Huangshan, China, in July 2012.

The eighty five revised complete papers offered have been conscientiously reviewed and chosen from 753 submissions. The papers are geared up in topical sections on neural networks, evolutionar studying and genetic algorithms, granular computing and tough units, biology encouraged computing and optimization, nature encouraged computing and optimization, cognitive technological know-how and computational neuroscience, wisdom discovery and information mining, quantum computing, desktop studying conception and techniques, healthcare informatics concept and techniques, biomedical informatics conception and strategies, advanced platforms idea and techniques, clever computing in sign processing, clever computing in snapshot processing, clever computing in robotics, clever computing in computing device imaginative and prescient, clever agent and internet functions, certain consultation on advances in details defense 2012.

**Read Online or Download Intelligent Computing Theories and Applications: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings PDF**

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**Extra info for Intelligent Computing Theories and Applications: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings**

**Sample text**

19) Mean Square Exponential Stability of Hybrid Neural Networks N It follows from (π j =1 ij 15 + Δπ ij ) = 0 that N (π j =1 ij + Δπ ij ) t xT ( s )Qx( s )ds t −τ N = ( (πij + Δπ ij )) t t −τ j =1 xT ( s )Qx( s )ds = 0. (20) In the addition, from Lemma 2 and (7), it yields 2 xT (t ) Pi Ai f ( x(t )) ≤ ε 0i xT (t ) Pi Ai AiT Pi x (t ) + ε 0−i1 f T ( x(t )) f ( x(t )) ≤ xT (t )(ε 0i Pi Ai AiT Pi + ε 0−i1G T G ) x(t ), (21) 2 xT (t ) Pi Bi f ( x(t − τ)) ≤ ε1i xT (t ) Pi Bi BiT Pi x(t ) + ε1−i1 f T ( x(t − τ)) f ( x(t − τ)) T −1 t T ≤ ε1i xT (t ) PB i i Bi Pi x (t ) + ε1i x (t − τ)G Gx (t − τ).

11 μ0iGT Pi Ai μ1iGT PB i i Ki −μ 0i I 0 0 0 0 −μ 0 i I 0 0 0 −μ1i I 0 0 −μ1i I 0 −Λ i < 0, (15) where N 1 Θ11 = −Ci Pi − PC i i + π ij Pj + 4 j =1 N j =1, j ≠ i λ ij ε ij2 I , K i = [ Pi − P1 Pi − Pi −1 Pi − Pi +1 Pi − PN ], Λ i = diag(λ i1 I ,, λ i (i −1) I , λ i ( i +1) I ,, λ iN I ). Proof. Let C 2,1 ( R n × R+ × S ; R+ ) denote the family of all nonnegative functions V ( x, t , i ) on R n × R+ × S which are continuously twice differentiable in x and differentiable in t.

In this paper, with crawler and duplicated pages analysis, addressed two issues of the topic-oriented Web crawler and near-replicas detection. One is how to make the definition of the topic; the other is how to eliminate duplicate pages. It aimed to visit only topic-oriented pages, and got a great scale of hyperlinks which link to the topic-oriented pages. The crawl and Web pages detection method is a novel one, which was based on the semi-structured features of the website and content information.

### Intelligent Computing Theories and Applications: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings by Xiaoming Liu, Bo Li, Jun Liu, Xin Xu, Zhilin Feng (auth.), De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha (eds.)

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