Results 101 to 110 of about 591 (120)

Ridgelet Probabilistic Neural Network with Genetic Algorithm selecting center vectors

Proceedings of 2011 International Conference on Computer Science and Network Technology, 2011
To enhance the generalization performance of conventional Probabilistic Neural Network, a novel model of Probabilistic Neural Network is proposed in this paper. Ridgelet basis functions satisfying admissible condition are adopted as the activation functions in radial basis layer of the model.
null Fengli Sun, null Quanhua Gao, null Jinguo Wang   +2 more
exaly   +2 more sources

SAR Image Classification Based on Brushlet and Self-Adaptive Ridgelet Neural Network

Applied Mechanics and Materials, 2013
Aiming at the defect that BP neural network classification model takes a long time for network training and the condition that wavelet network model lacks of direction information description, the paper presents a method for SAR image classification based on Brushlet and self-adaptive ridgelet neural network.
Nan Zheng, Hai Feng Tan
exaly   +2 more sources

A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization

Third International Conference on Natural Computation (ICNC 2007), 2007
An improved particle swarm optimization is used to train ridgelet neural network instead of the traditional gradient algorithms. Firstly, the model of ridgelet neural network and the traditional particle swarm optimization (PSO) algorithm are briefly described.
Rijian Su
exaly   +2 more sources

Islanding detection technique using Slantlet Transform and Ridgelet Probabilistic Neural Network in grid-connected photovoltaic system

Applied Energy, 2018
Abstract In this paper, a new islanding detection technique is proposed for a three-phase grid connected photovoltaic inverter system using the multi-signal analysis method. The proposed strategy is divided into two steps: first step, all possible grid faults, switching transients and islanding events are simulated and the essential detection ...
Masoud Ahmadipour, Hashim B Hizam, Mohammad Lutfi Othman   +2 more
exaly   +2 more sources

Frosting weight and refrigerating capacity prediction of fin evaporator based on random finite element method and ridgelet neural network

International Journal of Refrigeration, 2019
Abstract In order to confirm the proper defrosting measurement, the Frosting weight and refrigerating capacity of fin evaporator should be predicted correctly, therefore the new prediction model is proposed by combining the ridgelet neural network and random finite element method.
Bin Zhao
exaly   +2 more sources

Short-term load forecasting model based on ridgelet neural network optimized by particle swarm optimization algorithm

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), 2017
In this paper, the short-term load forecasting model based on ridgelet neural network optimized by the particle swarm optimization algorithm is proposed. The ridgelet neural network is simulated based on the visual cortex of the human brain. Compared with the traditional neural network, the neurons of the ridgelet neural network have directional ...
Wang Qun, Zhang Yingbin, Zhu Xinying, Qiu Youming, Wang Yize, Zhang Zhisheng   +5 more
exaly   +2 more sources

Fuzzy ridgelet neural network prediction model trained by improved particle swarm algorithm for maintenance decision of polypropylene plant

Quality and Reliability Engineering International, 2019
AbstractThe proper maintenance plan should be made for ensuring the safety and reliability of polypropylene plant and improve economic benefits of petrochemical enterprise. To meet the requirement, a novel maintenance prediction model of polypropylene plant based on fuzzy theory, ridgelet an artificial neural network is constructed.
Bin Zhao
exaly   +2 more sources

Research on intelligent prediction of hydrogen pipeline leakage fire based on Finite Ridgelet neural network

International Journal of Hydrogen Energy, 2022
Bin Zhao, Shasha Li, Diankui Gao, Lizhi Xu, Yuanyuan Zhang   +4 more
exaly   +2 more sources

Compression of Remote Sensing Images Based on Ridgelet and Neural Network

2005
To get a high-ratio compression of remote sensing images, we advanced a new compression method using neural network (NN) and a geometrical multiscale analysis (GMA) tool-ridgelet. Ridgelet is powerful in dealing with linear singularity (or curvilinear singularity with a localized version), so it can represent the edges of images more efficiently.
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
openaire   +1 more source

Retinal blood vessels detection for diabetic retinopathy with Ridgelet transform and convolution neural network

International Journal of Wavelets, Multiresolution and Information Processing, 2020
Applying machine learning in life sciences, especially diagnostics, has become a key area of focus for researchers. Combining machine learning with traditional algorithms provides a unique opportunity of providing better solutions for the patients. In this paper, we present study results of applying the Ridgelet Transform method on retina images to ...
openaire   +1 more source