Advances in Neural Networks – ISNN 2013
10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
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
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...
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...
Chapter and Conference Paper
In this paper, a pneumatic actuator fault diagnosis method based on GA optimized BP neural network and fuzzy logic is proposed. First of all, the Genetic algorithm is used to optimize the weights of BP neural ...
Chapter and Conference Paper
In this paper, a novel computational intelligence scheme is proposed to forecast landslide based on functional networks. Two types functional networks, general functional networks with two variables basis func...
Chapter and Conference Paper
Based on intrinsic mode functions (IMFs), standard energy difference of each IMF obtained by EEMD and probabilistic neural network (PNN), a new method is proposed to the recognition of power quality transient ...
Chapter and Conference Paper
Domains act as structural and functional units of proteins, playing an essential role in functional genomics. To investigate the annotation of finite protein domains is of much importance because the functions...
Chapter and Conference Paper
As one of the most prevailing post-translational modifications, phosphorylation is vital in regulating almost every cellular behavior. In this paper, we propose a new computational method that can effectively ...