Choosing an Optimal Neural Network Size to Aid a Search through a Large Image Database
作者： K. Messer , J. Kittler
DOI: 10.5244/C.12.24
关键词:
摘要: In this paper a fast method of selecting neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed both input features and hidden neurons avoids the pitfalls exhibited by other methods reported in literature. It also shown resulting extremely lean while at same time significantly improving performance. The solution provides very useful tool which now being incorporated operations system used large image database surveys.
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