Results 91 to 100 of about 179 (115)

A hybrid algorithm for training adaptive ridgelet neural network

2011 IEEE International Conference on Computer Science and Automation Engineering, 2011
Ridgelet neural network is a new model of artificial neural network. In this paper, an adaptive ridgelet neural network with one single hidden-layer is constructed by substituting the ridgelet function for the S-type activation function. To obtain higher accuracy and learning speed, a hybrid algorithm for training the network is researched based on ...
Mingyi He
exaly   +2 more sources

Approximation of functions with spatial inhomogeneity based on “true” ortho-ridgelet neural network

Applied Soft Computing Journal, 2011
To approximate the multivariate functions with spatial inhomogeneity, in this paper we proposed an ortho-ridgelet neural network (ORNN) model. By taking orthonormal ridgelet, which is a ''true'' ridgelet function different with the ''classic'' ridgelet, as the activation function of the hidden neurons, the network is characterized of more efficient ...
Shuyuan Yang, , Licheng Jiao
exaly   +2 more sources

Short-term wind power forecasting using ridgelet neural network

Electric Power Systems Research, 2011
Abstract Rapid growth of wind power generation in many countries around the world in recent years has highlighted the importance of wind power prediction. However, wind power is a complex signal for modeling and forecasting. Despite the performed research works in the area, more efficient wind power forecast methods are still demanded. In this paper,
Farshid Keynia, Nima Amjady, Hamidreza Zareipour   +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

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

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 ...
Hashim Hizam, Mohammad Lutfi Othman, Masoud Ahmadipour   +2 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   +3 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 ...
Zhisheng Zhang
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
Diankui Gao, Lizhi Xu
exaly   +2 more sources

A New Adaptive Ridgelet Neural Network

2005
In this paper, a new kind of neural network is proposed by combining ridgelet with feed-forward neural network (FNN). The network adopts ridgelet as the activation function in hidden layer of a three-layer FNN. Ridgelet is a good basis for describing the directional information in high dimension and it proves to be optimal in representing the functions
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
openaire   +1 more source