We propose a new scheme for designing a nearest-prototype classi"er using Kohonen's self-organizing feature map (SOFM). The net starts with the minimum number of prototypes which is equal to the number of classes. Then on the basis of the classi"cation performance, new prototypes are generated dynam
Hydroelectric generation scheduling using self-organizing feature maps
β Scribed by Ruey-Hsun Liang; Yuan-Yih Hsu
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 658 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0378-7796
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