Read e-book online Advances in Neural Networks – ISNN 2015: 12th International PDF

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

ISBN-10: 3319253921

ISBN-13: 9783319253923

ISBN-10: 331925393X

ISBN-13: 9783319253930

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 awarded have been conscientiously reviewed and chosen from ninety seven submissions. those papers conceal many subject matters of neural network-related examine together with clever regulate, neurodynamic research, memristive neurodynamics, computing device imaginative and prescient, sign processing, computing device 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

Similar data mining books

Machine Learning and Data Mining for Computer Security: by Marcus A. Maloof PDF

"Machine studying and knowledge Mining for machine Security" offers an outline of the present kingdom of analysis in desktop studying and knowledge mining because it applies to difficulties in machine protection. This publication has a powerful specialize in info processing and combines and extends effects from desktop defense.

Get Advances in Natural Language Processing: 9th International PDF

This publication constitutes the refereed lawsuits of the ninth overseas convention on Advances in ordinary Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers offered have been conscientiously reviewed and chosen from eighty three submissions. The papers are geared up in topical sections on morphology, named entity acceptance, time period extraction; lexical semantics; sentence point syntax, semantics, and laptop translation; discourse, coreference answer, computerized summarization, and query answering; textual content category, details extraction and data retrieval; and speech processing, language modelling, and spell- and grammar-checking.

Download e-book for kindle: Time Series Databases New Ways to Store and Access Data by Ted Dunning

Time sequence information is of transforming into significance, particularly with the quick growth of the net of items. This concise advisor indicates you powerful how you can acquire, persist, and entry large-scale time sequence information for research. You’ll discover the speculation at the back of time sequence databases and examine useful equipment for enforcing them.

Extra info for Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings

Example text

Liu and D. Qian Conclusions A terminal reaching law based sliding mode control method for the LFC problem is proposed in this article. The scheme is implemented in an interconnected power system with GRC and wind turbines. Moreover, RBF NNs are adopted to compensate and approximate the system uncertainties. The simulation results have validated the desirable frequency regulation performance against the system uncertainties, the GRC nonlinearity and wind power fluctuation. Compared with the SMC only, the superiority of the improved NNs-based sliding mode controllers has been illustrated.

Vqr(t) and iqr(t) are the q-axis components of the rotor voltage and the rotor current. w(t) is the rotational speed, Tm(t) is the mechanical power, Ht is the equivalent inertia constant, Pe(t) is the active power. X2=1⁄Rr, X3=Lm ⁄Lss, T1=L0 ⁄(wsRs), L0=Lrr+Lm2 ⁄Lss, and Lss=Ls+Lm, Lrr=Lr+Lm, here Lm is the magnetizing inductance, Rr and Rs are the rotor and stator resistances, Lr and Ls are the rotor and stator leakage inductances, Lrr and Lss are the rotor and stator self-inductances, ws is the synchronous speed.

In order to verify the effectiveness of the proposed control method, ∆PL1 =∆PL2 =1% pu and ∆Tm1 =∆Tm2 =1% pu are applied to the system at t = 5s simultaneously. It can be seen from Fig. 3 that the ∆f and ACE are damped to zero with small oscillations. These results embody the performances against load disturbance and wind power fluctuation of the designed terminal reaching law based SMC scheme. From the comparisons in Fig. 3, the performances of the frequency regulation with RBF NNs (blue curves) is superior to those without RBF NNs (red curves) in term of settling time.

Download PDF sample

Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings by Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao


by Daniel
4.3

Rated 4.80 of 5 – based on 19 votes