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Article
Open AccessDimension reduction with redundant gene elimination for tumor classification
Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DNA microarray experiments by commonly used ...
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Chapter and Conference Paper
On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification
Dimension reduction is important during the analysis of gene expression microarray data, because the high dimensionality of data sets hurts the generalization performance of classifiers. Partial Least Squares ...
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Article
Prediction of malignancy degree in brain glioma using selective neural networks ensemble
A clustering algorithm based selective neural networks ensemble (CLUSEN) is proposed to predict the degree of malignancy in brain glioma. Since the degree prediction of malignancy is critical before brain surg...
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Chapter and Conference Paper
Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble
Earthquakes will do great harms to the people, to estimate the future earthquake situation in Chinese mainland is still an open issue. There have been previous attempts to solve this problem by using artificia...
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Article
Primary component analysis method and reduction of seismicity parameters
In the paper, the primary component analysis is made using 8 seismicity parameters of earthquake frequency N (M l≥3.0), b-value, η-value, A(b)-value, Mf-value, Ac-value, C-value and D-value that r...
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Chapter and Conference Paper
Architecting CORBA-Based Distributed Applications
In this paper, we present a novel graph-oriented approach for architecting and modeling CORBA-based distributed applications. It provides higher-level abstractions for the architecture description of CORBA-bas...
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Article
The application of neural networks to comprehensive prediction by seismology prediction method
BP neural networks is used to mid-term earthquake prediction in this paper. Some usual prediction parameters of seismology are used as the import units of neural networks. And the export units of neural networ...
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Article
Reinforcement-based fuzzy neural network control with automatic rule generation
A reinforcemen-based fuzzy neural network control with automatic rule generation (RBFNNC) is proposed. A set of optimized fuzzy control rules can be automatically generated through reinforcement learning based...
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Article
The FAM (fuzzy associative memory) neural network model and its application in earthquake prediction
FAM (Fuzzy Associative Memory) Network Model, FAM Adaptive Learning Algorithm and Principal of FAM Inference Machine are introduced, and successfully application to “New Generation Expert System for Earthquake...
