1,047 Result(s)
within
**hu Li
English
Artificial Intelligence
Computational Biology/Bioinformatics
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
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Article
An Enhanced Training Algorithm for Multilayer Neural Networks Based on Reference Output of Hidden Layer
In this paper, the authors propose a new training algorithm which does not only rely upon the training samples, but also depends upon the output of the hidden layer. We adjust both the connecting weights and o...
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Article
Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification: A Comparative Study
Probabilistic Decision-Based Neural Networks (PDBNNs) can be considered as a special form of Gaussian Mixture Models (GMMs) with trainable decision thresholds. This paper provides detailed illustrations to com...
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Article
Development of a Fuzzy Rule-Based Multi-Objective Hybrid Controller for Static Synchronous Compensator
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Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN)
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Article
Intelligent compliant force/motion control of nonholonomic mobile manipulator working on the nonrigid surface
The task under consideration is to control a mobile manipulator for the class of nonrigid constrained motion. The working surface is deformable. The geometric and physical model of the surface is unknown and a...
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Article
Polynomial kernel adaptation and extensions to the SVM classifier learning
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more closely to the constraints i...
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Article
An efficient algorithm for Kernel two-dimensional principal component analysis
Recently, a new approach called two-dimensional principal component analysis (2DPCA) has been proposed for face representation and recognition. The essence of 2DPCA is that it computes the eigenvectors of the ...
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Article
A Hopfield neural network approach for power optimization of real-time operating systems
The RTOS (Real-Time Operating System) is a critical component in the SoC (System-on-a-Chip), which is the main body for consuming total system energy. Power optimization based on hardware–software partitioning...
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Article
Histogram feature-based Fisher linear discriminant for face detection
The face pattern is described by pairs of template-based histogram and Fisher projection orientation under the framework of AdaBoost learning in this paper. We assume that a set of templates are available firs...
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Single-electron tunneling depressing synapse for cellular neural networks
In this paper, a cellular neural network with depressing synapses for contrast-invariant pattern classification and synchrony detection is presented, starting from the impulse model of the single-electron tunn...
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Article
Enclosing machine learning: concepts and algorithms
A novel machine learning paradigm, i.e., enclosing machine learning based on regular geometric shapes was proposed. First, it adopted regular minimum volume enclosing and bounding geometric shapes (sphere, ell...
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Article
Multi-stage extreme learning machine for fault diagnosis on hydraulic tube tester
The running status of hydraulic tube tester is reflected by the boosting pressure curve in Hydrostatic testing process. The authors present the extreme learning machine (ELM), a novel good learning scheme much...
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Article
Delay-dependent fault detection and diagnosis using B-spline neural networks and nonlinear filters for time-delay stochastic systems
A new fault detection and diagnosis (FDD) scheme is studied in this paper for the continuous-time stochastic dynamic systems with time delays, where the available information for the FDD is the input and the m...
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Article
RBF neural networks for solving the inverse problem of backscattering spectra
This paper investigates a new method to solve the inverse problem of Rutherford backscattering (RBS) data. The inverse problem is to determine the sample structure information from measured spectra, which can ...
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Article
Applications of AR*-GRNN model for financial time series forecasting
AR* models contain Autoregressive Moving Average and Generalized Autoregressive Conditional Heteroscedastic class model which are widely used in time series. Recent researches in forecasting with Generalized R...
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Article
Business performance forecasting of convenience store based on enhanced fuzzy neural network
Reliable business performance forecasting of convenience store (CVS) can not only help in making the correct local selection decision but also in decreasing the store cost and thereby enlarging the profit sign...
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Article
Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification
A structured-based neural network (NN) with backpropagation through structure (BPTS) algorithm is conducted for image classification in organizing a large image database, which is a challenging problem under i...
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Article
A hybrid classification algorithm based on coevolutionary EBFNN and domain covering method
A new hybrid scheme of the elliptical basis function neural network (EBFNN) model combined with the cooperative coevolutionary algorithm (Co-CEA) and domain covering method is presented for multiclass classifi...
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Article
High-voltage equipment condition monitoring and diagnosis system based on information fusion
As high-voltage electric equipment has complex structure and works in harsh environments, fiber Bragg grating (FBG) sensors are applied to realize the real-time monitoring of some parameters in which temperatu...
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Article
Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing
This paper investigates two different intelligent techniques—the neural network (NN) method and the simulated annealing (SA) algorithm for solving the inverse problem of Rutherford backscattering (RBS) with no...
