Ridgelet neural network - Open Access .click

Neurocomputing, 2008
In this paper, a new kind of neural network is proposed by combining ridgelet with feedforward neural network (FNN). The network adopts ridgelet as the activation function in the hidden layer, and an incremental constructive method is employed to determine the structure of the network.
Shuyuan Yang, Licheng Jiao
exaly +2 more sources

Ridgelet and BP Neural Network Based Face Detection Method

2008 7th World Congress on Intelligent Control and Automation, 2008
The ridgelet transformation was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. Focusing on the face detection problem, a novel face detection method using ridgelet transform and BP neural network was proposed. Two stages are involved in this method. Firstly, the pretreated face
Xinman Zhang, Deyun Zhang
exaly +2 more sources

Double-paralleled ridgelet neural network with IFPSO training algorithm

2011 International Conference on Electrical and Control Engineering, 2011
To speed up the convergence and promote the generalized performance of adaptive ridgelet neural network, we present a new model, Double-paralleled Ridgelet Neural Network, which consists of two paralleled networks — a hidden-layer adaptive ridgelet network and a single-layer feedforward neural network In order to obtain higher accuracy and learning ...
Mingyi He
exaly +2 more sources

machine learning cs.lg
fos: computer and information sciences
computer science - machine learning

statistics - machine learning
machine learning stat.ml
fos: mathematics

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