Name
Title | ||
|---|---|---|
Modeling of X-ray CT image by using revised GMDH-type neural networks with sigmoid functions. |
Abstract | ||
|---|---|---|
In this paper, X-ray CT image is identified by using a revised GMDH-type neural networks with sigmoid functions. The revised GMDH-type neural network algorism with sigmoid functions proposed in this paper are developed based on the conventional GMDH-type neural network algorism with a feedback loop. The revised GMDH-type neural networks can identify nonlinear complex systems very accurately because the complexity of the neural networks increase gradually by the feedback loop calculations and the structural parameters such as the number of neurons, the useful input variables and the number of feedback loop calculations are automatically determined so as to minimize the prediction error criterion defined as AIC. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/CIRA.2003.1222164 | CIRA |
Keywords | Field | DocType |
X-ray imaging,biomedical imaging,computerised tomography,feedback,self-organising feature maps,X-ray CT image,computerised tomography,feedback loop,group method of data handling,heuristic self-organization method,medical image recognition,prediction error criterion,revised GMDH-type neural network,sigmoid functions | Computer vision,Rectifier (neural networks),Feedforward neural network,Activation function,Computer science,Stochastic neural network,Time delay neural network,Types of artificial neural networks,Artificial intelligence,Artificial neural network,Machine learning,Sigmoid function | Conference |
Volume | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadashi Kondo | 1 | 0 | 0.34 |
| Abhijit S. Pandya | 2 | 108 | 22.91 |