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

The quantity LNCS 9377 constitutes the refereed court cases of the twelfth overseas Symposium on Neural Networks, ISNN 2015, held in jeju, South Korea on October 2015. The fifty five revised complete papers provided have been rigorously reviewed and chosen from ninety seven submissions. those papers disguise many themes of neural network-related examine together with clever keep watch over, neurodynamic research, memristive neurodynamics, machine imaginative and prescient, sign processing, laptop studying, and optimization.

Show description

Read or Download Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings PDF

Best data mining books

Knowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, Vietri sul Mare, Italy, September 12-14,

The 3 quantity set LNAI 4692, LNAI 4693, and LNAI 4694, represent the refereed lawsuits of the eleventh foreign convention on Knowledge-Based clever info and Engineering platforms, KES 2007, held in Vietri sul Mare, Italy, September 12-14, 2007. The 409 revised papers awarded have been rigorously reviewed and chosen from approximately 1203 submissions.

Multimedia Data Mining and Analytics: Disruptive Innovation

This ebook presents clean insights into the innovative of multimedia information mining, reflecting how the learn concentration has shifted in the direction of networked social groups, cellular units and sensors. The paintings describes how the historical past of multimedia facts processing will be seen as a chain of disruptive suggestions.

What stays in Vegas: the world of personal data—lifeblood of big business—and the end of privacy as we know it

The best danger to privateness this day isn't the NSA, yet good-old American businesses. net giants, top shops, and different agencies are voraciously collecting facts with little oversight from anyone.
In Las Vegas, no corporation understands the worth of information larger than Caesars leisure. Many millions of enthusiastic consumers pour throughout the ever-open doorways in their casinos. the key to the company’s luck lies of their one unequalled asset: they be aware of their consumers in detail through monitoring the actions of the overpowering majority of gamblers. They understand precisely what video games they prefer to play, what meals they get pleasure from for breakfast, after they wish to stopover at, who their favourite hostess could be, and precisely how you can continue them coming again for more.
Caesars’ dogged data-gathering equipment were such a success that they've grown to turn into the world’s greatest on line casino operator, and feature encouraged businesses of all types to ramp up their very own info mining within the hopes of boosting their specified advertising efforts. a few do that themselves. a few depend upon info agents. Others essentially input an ethical grey area that are supposed to make American shoppers deeply uncomfortable.
We stay in an age whilst our own info is harvested and aggregated no matter if we adore it or now not. And it really is growing to be ever more challenging for these companies that select to not interact in additional intrusive information accumulating to compete with those who do. Tanner’s well timed caution resounds: definite, there are various merits to the loose stream of all this information, yet there's a darkish, unregulated, and damaging netherworld to boot.

Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

This publication constitutes the refereed complaints of the seventh overseas Workshop on laptop studying in scientific Imaging, MLMI 2016, held at the side of MICCAI 2016, in Athens, Greece, in October 2016. The 38 complete papers offered during this quantity have been conscientiously reviewed and chosen from 60 submissions.

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

Sample text

18 C. Zheng et al. References 1. : Analysis and synthesis of Markov jump linear systems with time-varying delays and partially known transition probabilities. IEEE Trans. Auto. Con. 53, 2458–2464 (2008) 2. : Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities. Int. J. Con. 83, 1564–1572 (2010) 3. : Robust stability and stabilization of discrete-time Markov jump linear systems with partly unknown transition probability matrix. In: American Control Conference (ACC), pp.

The block diagram of the proposed control system. Neural Dynamic Surface Control for PWM Rectifier 33 Table 1. 1Ω DC-link capacitor 5000μF Table 2. 3 ∗ 10−7 Stability Analysis Theorem 1: Consider the closed-loop system consisting of the system (1), (2) with the virtual control law (6), the actual control laws (12), (17), the NNs (7), (13), (18), and the LTD (10). All signals in the closed-loop system are uniformly ultimately bounded, and the tracking errors of the output voltage and the q axis current can converge to a small neighborhood of the origin.

Zeng, Z. ) ISNN 2013, Part I. LNCS, vol. 7951, pp. 125–132. Springer, Heidelberg (2013) Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg 27 17. : Seeking consensus in networks of linear agents: communication noises and Markovian switching topologies. IEEE Transactions on Automatic Control 60(5), 1374–1379 (2015) 18. : Consensus conditions of multi-agent systems with time-varying topologies and stochastic communication noises. IEEE Transactions on Automatic Control 55(9), 2043–2057 (2010) 19.

Download PDF sample

Rated 4.93 of 5 – based on 21 votes