Advances in Neural Networks – ISNN 2015: 12th International by Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao

By Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao

The quantity LNCS 9377 constitutes the refereed court cases of the twelfth foreign Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The fifty five revised complete papers provided have been conscientiously reviewed and chosen from ninety seven submissions. These papers conceal many subject matters of neural network-related study together with clever keep watch over, neurodynamic research, memristive neurodynamics, desktop imaginative and prescient, sign processing, computing device studying,  and optimization.

Show description

Read Online or Download Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings (Lecture Notes in Computer Science) PDF

Similar data mining books

Analysis and Enumeration: Algorithms for Biological Graphs (Atlantis Studies in Computing)

During this paintings we plan to revise the most strategies for enumeration algorithms and to teach 4 examples of enumeration algorithms that may be utilized to successfully take care of a few organic difficulties modelled by utilizing organic networks: enumerating crucial and peripheral nodes of a community, enumerating tales, enumerating paths or cycles, and enumerating bubbles.

Big Data Benchmarking: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers (Lecture Notes in Computer Science)

This e-book constitutes the completely refereed post-workshop lawsuits of the fifth overseas Workshop on substantial information Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014. The thirteen papers awarded during this e-book have been rigorously reviewed and chosen from various submissions and canopy themes similar to benchmarks requisites and suggestions, Hadoop and MapReduce - within the various context akin to virtualization and cloud - in addition to in-memory, information new release, and graphs.

Crowdsourced Health: How What You Do on the Internet Will Improve Medicine (MIT Press)

So much folks have long past on-line to go looking for info approximately wellbeing and fitness. What are the indicators of a migraine? How powerful is that this drug? the place am i able to locate extra assets for melanoma sufferers? may i've got an STD? Am I fats? A Pew survey reviews greater than eighty percentage of yankee web clients have logged directly to ask questions like those.

Learning Analytics in R with SNA, LSA, and MPIA

This publication introduces significant Purposive interplay research (MPIA) concept, which mixes social community research (SNA) with latent semantic research (LSA) to assist create and examine a significant studying panorama from the electronic lines left by means of a studying group within the co-construction of data.

Additional info for Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings (Lecture Notes in Computer Science)

Sample text

Wei and D. Liu the traditional iterative ADP algorithms. Q functions depend on both system state and control, which means that they already include the information about the system and the utility function. Hence, it is easier to compute control policies from Q functions than the traditional performance index functions. Because of this merit, Q-learning algorithms are preferred to unknown and model-free systems to obtain the optimal control. In this paper, inspired by [5], a novel Q-learning based policy iteration ADP algorithm is developed for discrete-time nonlinear systems.

The hybrid controller and parameter update law are designed as follows: U = U1 + U 2 + U 3 + U 4 , U1 = − Ke(t ) K = diag ( k1 , k2 ,… , kn ) ki = λi ei 2 (t ) U 2 = D( M (t ) x(t )) Λ( M (t ) x(t )) − M (t ) D( x(t ))Λ( x(t )) + D( M (t ) x(t )) J − M (t ) D( x(t )) J (5) U 3 = M (t ) D( x(t )) Bf ( x(t )) − D( y (t )) Bf ( M (t ) x(t )) + M (t ) x(t ) U 4 = M (t ) D( x(t ))Cg ( x(t − τ )) − D( y (t ))Cg ( M (t − τ ) x(t − τ )) Δbij = − wij ei (t )di ( yi (t )) f j ( y j (t )), Δcij = −qij ei (t )di ( yi (t )) g j ( y j (t − τ )) (6) where U1 is an adaptive controller and U 2 ,U3 ,U 4 are open-loop controllers.

218, 5769–5781 (2012) 7. : Delay-dependent exponential stability for Markovian jumping stochastic Cohen-Grossberg neural networks with p-Laplace diffusion and partially known transition rates via a differential inequality. Ad. Differ. Equa. 2013, 1–14 (2013) 8. : Finite-time control of linear systems subject to parametric uncertainties and disturbances. Auto. 37, 1459–1463 (2001) 9. : Finite-time stabilization by state feedback control for a class of time-varying nonlinear systems. Auto. 48, 499–504 (2012) 10.

Download PDF sample

Rated 4.42 of 5 – based on 37 votes