Extraction of rice-planted area using a self-organizing feature map
โ Scribed by Tomohisa Konishi; Sigeru Omatu; Yuzo Suga
- Publisher
- Springer Japan
- Year
- 2007
- Tongue
- English
- Weight
- 534 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1433-5298
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A new model for generalized fuzzy inference neural networks (GFINN) is proposed in this paper. The networks consist of three layers: an input-output layer, an if layer, and a then layer. In each layer, there are the operational nodes. A GFINN can perform three representative fuzzy inference methods
This paper proposes a new method for reducing the number of colors in an image. The proposed approach uses both the image color components and local image characteristics to feed a Kohonen self-organized feature map (SOFM) neural network. After training, the neurons of the output competition layer d