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- Kimbeng, Collins A., et al. Show all 5 Authors
- Crop science 2011 v.51 no.1 pp. 21
- Saccharum; sugarcane; neural networks; decision support systems; plant breeding; artificial selection; selection criteria; seedlings; case studies; mathematical models; calibration; yield components; stems; height; diameter; selection intensity; selection response
- ... Artificial neural network (ANN) models are mathematical models based on biological neural networks; they are a supervised learning method and use pattern learning from a training dataset that is a subsample of the whole dataset to produce predictions of response variables. We demonstrate the potential of an ANN model as a tool for selection in sugarcane. Cane yield components, namely stalk number, ...