CN106018375B - 一种基于lm神经网络的堆肥腐熟度分级评价方法 - Google Patents
一种基于lm神经网络的堆肥腐熟度分级评价方法 Download PDFInfo
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- CN106018375B CN106018375B CN201610648274.0A CN201610648274A CN106018375B CN 106018375 B CN106018375 B CN 106018375B CN 201610648274 A CN201610648274 A CN 201610648274A CN 106018375 B CN106018375 B CN 106018375B
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
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Abstract
Description
A4/A1 | AFLR | r(A,C) | P(HS)/(Pr) | P(II,n) | P(IV,n) | P(V,n)/P(III,n) | GI | |
A4/A1 | 1 | |||||||
AFLR | -0.759** | 1 | ||||||
r(A,C) | -0.572** | 0.549** | 1 | |||||
P(HS)/(Pr) | 0.762** | -0.809** | -0.641** | 1 | ||||
P(II,n) | -0.684** | 0.694** | 0.688** | -0.778** | 1 | |||
P(IV,n) | -0.698** | 0.770** | 0.611** | -0.799** | 0.922** | 1 | ||
P(V,,n)/P(III,n) | 0.705** | -0.727** | -0.736** | 0.840** | -0.910** | -0.799** | 1 | |
GI | 0.654** | -0.501** | -0.621** | 0.585** | -0.544** | -0.485** | 0.629** | 1 |
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Families Citing this family (7)
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CN108596987B (zh) * | 2018-04-25 | 2022-01-04 | 南京农业大学 | 基于图像深度特征序列的堆肥腐熟判断方法 |
CN108845075B (zh) * | 2018-04-25 | 2021-06-29 | 南京农业大学 | 基于深度学习网络的堆肥腐熟实时预测方法 |
CN108627490B (zh) * | 2018-05-24 | 2020-10-09 | 中国石油集团渤海钻探工程有限公司 | 一种基于三维定量荧光光谱积分计算含油浓度的方法 |
CN109187460A (zh) * | 2018-08-31 | 2019-01-11 | 上海市城市建设设计研究总院(集团)有限公司 | 污泥稳定化程度的判定方法 |
CN109975262A (zh) * | 2019-04-15 | 2019-07-05 | 上海交通大学 | 一种基于三维荧光区域积分法优化全光谱监测cod方法 |
CN110095579A (zh) * | 2019-06-12 | 2019-08-06 | 山东农业大学 | 通过检测发酵罐发酵尾气变化判断物料腐熟程度的方法 |
CN113793645A (zh) * | 2021-09-16 | 2021-12-14 | 浙江大学 | 一种基于机器学习模型的堆肥腐熟度预测方法 |
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