Data pruning and ordered training are two methods and the results of a small theory that attempts to formalize neural network training with heterogeneous data. Data pruning is a simple process that attempts to remove noisy data. Ordered training is a more complex method that partitions the data into
Effect of data standardization on neural network training
โ Scribed by M. Shanker; M.Y. Hu; M.S. Hung
- Book ID
- 113322938
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 993 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0305-0483
No coin nor oath required. For personal study only.
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