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神经网络BP模型的设计与实现
The design and implementation of neural network BP model
【摘要】 应用人工神经网络中的BP前馈网络模型和改进的BP算法 ,对棉铃虫发生程度进行预测 ,结果表明 :该算法可靠 ,验证符合率达百分之百 ,在农作物病虫害预测方面有广阔的应用前景
【Abstract】 Applying the BP feed forward of artificial neural network model and improved BP arithmetic, we could predicate the occurring degree of cotton bollworm. The results indicated that this arithmetic was reliable and the validate accord rate could reach 100%, so it had the wide application foreground in the forecast of crop plant diseases and insect pests.
【关键词】 病虫害预测;
人工神经网络;
BP模型;
改进BP算法;
【Key words】 plant diseases and insect pests forecast; artificial neural network; BP model; improved BP arithmetic;
【Key words】 plant diseases and insect pests forecast; artificial neural network; BP model; improved BP arithmetic;
【基金】 河北省自然科学基金资助项目! (6 931 6 1 )
- 【文献出处】 河北农业大学学报 ,JOURNAL OF AGRICULTURAL UNIVERSITY OF HEBEI , 编辑部邮箱 ,2000年01期
- 【分类号】TP183
- 【被引频次】30
- 【下载频次】500