Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
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18 Result(s)
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Computer Science
Artificial Intelligence
Computation by Abstract Devices
Data Mining and Knowledge Discovery
Zhigang **
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Chapter and Conference Paper
A Seed-Based Method for Predicting Common Secondary Structures in Unaligned RNA Sequences
The prediction of RNA secondary structure can be facilitated by incorporating with comparative analysis of homologous sequences. However, most of existing comparative approaches are vulnerable to alignment err...
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Chapter and Conference Paper
Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting
In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series are introduced. In addition, multi neural network for load forecast includ...
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Chapter and Conference Paper
Robust Stability of Switched Recurrent Neural Networks with Discrete and Distributed Delays under Uncertainty
With the rapid development of intelligent control, switched systems have attracted great attention. In this letter, we try to introduce the idea of the switched systems into the field of recurrent neural netwo...
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Chapter and Conference Paper
Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities
The general projection neural network (GPNN) is a versatile recurrent neural network model capable of solving a variety of optimization problems and variational inequalities. In a recent article [IEEE Trans. N...
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Chapter and Conference Paper
Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics
In this paper, the switching dynamics of recurrent neural networks are studied. Sufficient conditions on global exponential stability with an arbitrary switching law or a dwell time switching law and the estim...
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Chapter and Conference Paper
Retracted: Quantum Quasi-Cyclic Low-Density Parity-Check Codes
In this paper, how to construct quantum quasi-cyclic (QC) low-density parity-check (LDPC) codes is proposed. Using the proposed approach, some new quantum codes with various lengths and rates of no cycles-leng...
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Chapter and Conference Paper
Erratum to: Quantum Quasi-Cyclic Low-Density Parity-Check Codes
The paper entitled ”Quantum Quasi-Cyclic Low-Density Parity-Check Codes”, on pages 18-27 of this volume, has been retracted, because a large portion of the contents had been taken from the paper “Quantum Quasi...
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Book and Conference Proceedings
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Book and Conference Proceedings
Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I
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Book and Conference Proceedings
Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II
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Book and Conference Proceedings
Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV
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Book and Conference Proceedings
Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part V
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Chapter and Conference Paper
Adaptive Backstep** Neural Control for Switched Nonlinear Stochastic System with Time-Delay Based on Extreme Learning Machine
In this paper, for a class of switched stochastic nonlinear systems with time-varying delays, the output feedback stabilization problem is addressed based on single hidden layer feed-forward network (SLFN) and...
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Chapter and Conference Paper
Damage Pattern Recognition of Refractory Materials Based on BP Neural Network
The determination of the damage mode and the quantitative description of the damage of the clustered acoustic emission (AE) signal of the refractory materials based on the BP (back propagation) Neural Network ...
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Chapter and Conference Paper
Displacement Prediction Model of Landslide Based on Ensemble of Extreme Learning Machine
Based on time series analysis, total accumulative displacement of landslide is divided into the trend component displacement and the periodic component displacement according to the response relation between d...
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Chapter and Conference Paper
Study on Landslide Deformation Prediction Based on Recurrent Neural Network under the Function of Rainfall
Landslide deformation prediction has significant practical value that can provide guidance for preventing the disaster and guarantee the safety of people’s life and property. In this paper, a method based on r...
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Chapter and Conference Paper
Multi-step Predictions of Landslide Displacements Based on Echo State Network
Time series prediction theory and methods can be applied to many practical problems, such as the early warning of landslide hazard. Most already existing time series prediction methods cannot be effectively ap...
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Chapter and Conference Paper
Semi-supervised Non-negative Local Coordinate Factorization
Non-negative matrix factorization (NMF) is a popular matrix decomposition technique that has attracted extensive attentions from data mining community. However, NMF suffers from the following deficiencies: (1)...
