Advances in Neural Networks – ISNN 2013
10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
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12 Result(s)
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Zhigang **
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Computation by Abstract Devices
Image Processing and Computer Vision
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Chapter and Conference Paper
A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation
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...
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Chapter and Conference Paper
Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach
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 ...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Neural Networks – ISNN 2013
10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part II
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Chapter and Conference Paper
SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples
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...
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Chapter and Conference Paper
Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic
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 ...
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Chapter and Conference Paper
Displacement Prediction Model of Landslide Based on Functional Networks
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...
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Chapter and Conference Paper
An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network
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 ...
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Chapter and Conference Paper
The Recognition Study of Impulse and Oscillation Transient Based on Spectral Kurtosis and Neural Network
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...
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Chapter and Conference Paper
Quantum Error-Correction Codes Based on Multilevel Constructions of Hadamard Matrices
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...
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Chapter and Conference Paper
Robust Control for a Class of Uncertain Neural Networks with Time-Delays on States and Inputs
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...
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Chapter and Conference Paper
Blind Extraction of Singularly Mixed Source Signals
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...
