A walnut tree growth model using genetic algorithm to optimize BP neural network was proposed to predict the tree height and diameter at breast height of walnut trees,and the GA-BP model was established by optimizing the weights and thresholds of BP neural network,and the prediction results were compared with those of multiple linear regression model.The results show that the model optimized with genetic algorithm has higher prediction accuracy and is of guiding significance for walnut tree growth prediction.
genetic algorithmDB neural networkGA-BP modelwalnut tree growth model
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