Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
Chapter and Conference Paper
In this paper, a neural network model and its associate learning rule are developed for sequential blind extraction in the case that the number of observable mixed signals is less than the one of sources. This...
Chapter and Conference Paper
A class of uncertain neural networks with time-delays on states and inputs is studied. The theoretical analysis herein guarantees that the neural networks are robust stable. In addition, a state feedback contr...
Chapter and Conference Paper
To achieve quantum error-correction codes with good parameters, the recursive constructions of Hadamard matrices with even length are proposed with special characters. The generators of the stabilizer of the d...
Chapter and Conference Paper
Aiming to the disadvantages of short-term load forecasting with HHT such as mode mixing and random component, a new short-term load forecasting model based on HHT and ANN is proposed. The first order differenc...
Book and Conference Proceedings
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
Book and Conference Proceedings
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I
Book and Conference Proceedings
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II
Book and Conference Proceedings
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV
Book and Conference Proceedings
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part V
Chapter and Conference Paper
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
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...
Chapter and Conference Paper
To improve the precision of classification and recognition of transient power quality disturbances, a new algorithm based on spectral kurtosis (SK) and neural network is proposed. In the proposed algorithm, Mo...
Chapter and Conference Paper
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...
Chapter and Conference Paper
This paper takes use of the hidden semi-Markov model to evaluate network security situation. HsMM modifies HMM model on the presumption that certain system status dwell time abides with exponential distributio...
Chapter and Conference Paper
Network security situation assessment is the core of situation awareness, and is also a qualitative and quantitative description of network security state. In this paper, the security state and intrusion alarm...
Chapter and Conference Paper
From the perspective of game theory, this paper studies the information security problem, establishes an offense and defense game model of information security, and puts forward a quantitative evaluation algor...
Book and Conference Proceedings
10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
Book and Conference Proceedings
10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part II
Chapter and Conference Paper
Support Vector Data Description(SVDD) is an important method to solve data description or one-class classification problem. In original data description problem, only positive examples are provided in training...