Download Advanced intelligent computing theories and applications : by Huang D.-S., Zhao Z., Bevilacqua V., Figueroa J.C. (eds.) PDF

By Huang D.-S., Zhao Z., Bevilacqua V., Figueroa J.C. (eds.)

This e-book constitutes the refereed complaints of the sixth overseas convention on clever Computing, ICIC 2010, held in Changsha, China, in August 2010. The eighty five revised complete papers awarded have been conscientiously reviewed and chosen from a various submissions. The papers are geared up in topical sections on neural networks, evolutionary studying & genetic algorithms, fuzzy idea and versions, fuzzy structures and gentle computing, particle swarm optimization and area of interest know-how, supervised & semi-supervised studying, unsupervised & reinforcement studying, combinatorial & numerical optimization, structures biology and computational biology, neural computing and optimization, nature encouraged computing and optimization, wisdom discovery and information mining, synthetic existence and synthetic immune structures, clever computing in photograph processing, distinctive consultation on new hand established biometric equipment, distinctive consultation on fresh advances in photograph segmentation, distinct consultation on theories and functions in complicated clever computing, precise consultation on seek dependent software program engineering, exact consultation on bio-inspired computing and purposes, distinct consultation on develop in dimensionality aid tools and its functions, distinct consultation on protein and gene bioinformatics: tools and purposes

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Read Online or Download Advanced intelligent computing theories and applications : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings PDF

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Extra info for Advanced intelligent computing theories and applications : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings

Sample text

Assumption A1. , n , there exists constant γ i > 0 such that for all ui ≠ vi , 0 < γ i (ui − vi ) 2 ≤ d i (ui ) − di (vi )(ui − vi ) . Assumption A2. e. there exists constant L j > 0 such that for all u j ≠ v j , 0 ≤ [ g j (u j ) − g j (v j )](u j − v j ) ≤ L j (u j − v j )2 . , n . (3) Lemma 2. [3]. If H (u ) ∈ C 0 satisfies: (i) H (u ) is injective on R n ; (ii) || H (u ) ||→ ∞ as || u ||→ ∞ , then H (u ) is the homeomorphism of R n . In the following section, we will give a theorem ensuring (1) has a unique equilibrium point.

Corollary 4. T4∞ = limT4n = FQ ( I − FP+ FP )(FQ (I − FP+ FP ))+ . If rank(FP ) = rank(F ) , then n→∞ ∞ 4 T =0. Proof. From theorem 2, we obtain sBQ (∞) = FQ(I − FP+FP )(FQ (I − FP+FP ))+ (sQ(0) − FQFP+sP (0)) + FQFP+sP (0) (6) 38 J. Wang, Y. Wang, and X. Cui According to the association process of EAPNN, the state vector of its floating neurons can be written as follows after n times association: n −1 0 s BQ ( n) = ∑ T4iT3 s P (0) + T4n s Q (0) (Here define T4 = I ) i =0 Due to randomicity of s P (0) , we might as well let s P (0) =0 s ( n ) = T s (0 ) Q B , then n Q 4 Thus s BQ (∞) = lim T4n s Q (0) = T4∞ s Q (0) (7) n →∞ Q Considering (6), (7) and randomicity of s (0) , we obtain T4∞ = lim T4n = FQ ( I − FP+ FP )( FQ ( I − FP+ FP ))+ n →∞ Especially if rank ( FP ) = rank ( F ) , we have FQ ( I − FP+ FP ) = 0 (8) and ( FQ ( I − FP+ FP )) + =0, according to the proof process of the corollary 1.

Piazza Ek = T − (Tk−1 + δGk δΩk ) achieve its minimum and the sequence { Ek } would decrease and converges. It is noted in [4] that some newly added hidden nodes may make residual error reduce less than others. In the Enhanced I-ELM method, at any step, among P trial of hidden nodes, the hidden nodes with greatest residual error reduction is chosen and added. This method is also applied in this paper. Hence, we have our time-variant version of I-ELM and EI-ELM. Assume we have a set of training data {(x[n], t[n])}N n=1 , the target output matrix T, the residual matrix E, the maximum number of hidden nodes Kmax , and the expected learning accuracy .

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