Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II
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Artificial Intelligence
Data Mining and Knowledge Discovery
Zhigang **
Computer Science
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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 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
An Image Encryption Algorithm Based on Small Permutation Array Combining
In traditional chaotic map based image encryption algorithm, the encryption performance is determined by the permutation generating speed, and due to short periodical problem led by the finite precision effect...
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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
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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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
Classifying Stem Cell Differentiation Images by Information Distance
The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter and Conference Paper
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture
Many applications in real life can produce and collect large amount of data and many of them can be modeled by Graph. The number of vertexes of a graph could be several hundreds of millions to billions and the...
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Article
A novel method of short-term load forecasting based on multiwavelet transform and multiple neural networks
This paper aims to develop a load forecasting method for short-term load forecasting based on multiwavelet transform and multiple neural networks. Firstly, a variable weight combination load forecasting model ...
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Article
Dynamic behaviors of memristor-based delayed recurrent networks
This paper investigates the problem of the existence and global exponential stability of the periodic solution of memristor-based delayed network. Based on the knowledge of memristor and recurrent neural netwo...
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Article
Multistability of periodic delayed recurrent neural network with memristors
This paper discusses the recurrent neural network (RNN) with memristors as connection weights. Memristor is a nonlinear resistor. Memristance varies periodically with time when the sinusoidal voltage source is...
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Book and Conference Proceedings
Advances in Neural Networks – ISNN 2014
11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings
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Chapter and Conference Paper
Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting
This paper proposes a generalized regression neural networks (GRNNS) with \(K\) -fold cross-validation (GRNNSK) for pr...
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Chapter and Conference Paper
A Kernel ELM Classifier for High-Resolution Remotely Sensed Imagery Based on Multiple Features
Better interpretation about the contents in high-resolution remote sensing images can be obtained by using multiple features of various types. In order to process large image data sets with high feature dimens...
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Chapter and Conference Paper
Path Planning Using Neighborhood Based Crowding Differential Evolution
Path planning problems are known as one of the most important techniques used in robot navigation. The task of path planning is to find several short and collision-free paths. Various optimization algorithms h...
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Article
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis
Landslide hazard is a complex nonlinear dynamical system with uncertainty. The evolution of landslide is influenced by many factors such as tectonic, rainfall and reservoir level fluctuation. Using a time seri...
