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In system controlled,Sampling these parameters and with parameters for controller in time, it is an object to adaptive control. The article presents a scheme that the structure parameters on it's model and model parameters is robust identified by on line, while to optimal of algorithm on adaptive control is fulfilled. In control scheme, method of intelligent identifying to the structure parameters(levels of model) and algorithm of robust pole placement are introduced also It is advancer for already mentioned scheme. Whole scheme presents new model on adaptive control. 相似文献
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农村广播“村村响”工程实施后,农民通过广播更多的知晓世界。为了能够更好地突出“村村响”广播效果,本文立足“一懂两爱”,基于服务三农,介绍如何录制“村村响”节目的具体技巧。 相似文献
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杨秉章 《湖南农业大学学报(自然科学版)》1988,15(1)
次声振荡发生器建立于拍频原理的基础上,按此原理我们研究两对特制音叉的频率,并找出了在这两对音叉间所存在的次声频率函数.更进一步,一系列的亚次声频率可以估算出来. 相似文献
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针对红树林叶面积指数(Leaf Area Index,LAI)实地测量难度大、无法快速大范围LAI估算的问题。该研究以广西北部湾红树林为研究对象,以无人机(Unmanned Aerial Vehicle,UAV)和哨兵二号(Sentinel-2A,S2)多光谱影像为数据源,整合原始光谱波段、植被指数和组合植被指数构建高维数据集,并进行数据降维和特征优选。定量评估6种机器学习算法(XGBoost、前馈反向传播神经网络(Back Propagation,BP)、支持向量机(SVM)、岭回归(Ridge)、Lasso和弹性网络(ElasticNet))对不同红树林树种LAI的估算能力;探究UAV和Sentinel-2A影像对红树林树种LAI估算的精度差异。研究结果表明:1)基于XGBoost算法构建的模型实现了红树林LAI高精度估算,R2均高于0.70,RMSE均低于0.349;2)在UAV和Sentinel-2A影像下,XGBoost模型对不同红树林树种LAI的估算精度(R2)比其他5种模型分别提高了0.105~0.365和0.283~0.540,RMSE降低了0.100~0.392和0.102~0.518;3)UAV影像数据与XGBoost算法构建的模型对海榄雌LAI的估算精度优于其他组合(R2=0.821、RMSE=0.288),Sentinel-2A影像数据与XGBoost算法构建的模型对秋茄和桐花树LAI的估算精度优于其他组合(R2=0.940~0.979、RMSE=0.142~0.104),不同红树林树种LAI的估算精度依次为桐花树>秋茄>海榄雌;4)SNAP-SL2P算法整体性低估红树林LAI值,UAV影像红树林树种LAI的平均估算精度(R2=0.677~0.713)均优于Sentinel-2A影像,实现了不同红树林树种LAI的高精度估算。 相似文献
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对渔业实际种群分析(VPA)中调谐方法的初步研究 总被引:1,自引:0,他引:1
实际种群分析法(VPA)是渔业资源评估的经典模型之一,也是总允许捕捞配额(TAC)计算的主要模型之一。由于VPA方法本身具有不确定性,单纯的分年龄组产量数据不能计算最末年的捕捞死亡系数(和种群数量),所以它通常需要分年龄组产量数据和附属数据。VPA的调谐方法发源于欧洲,它们简单、易于理解和不需要繁杂的计算,在实际的渔业资源评估中有着广泛的应用。文章研究了最具有典型性的3种VPA调谐方法,JAM(judicious average method)、LS(Laurec and Shepherd method)和Hybrid。应用模拟数据的研究表明,3种方法在捕捞死亡系数稳定时可以较准确地估计补充值。当捕捞死亡系数随时间增加时,LS方法相对于其它2种方法有较优的表现。当捕捞死亡系数随时间减少时,JAM方法有较优的表现。 相似文献
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Jun’ichiro Ide Tomonori Kume Yoshifumi Wakiyama Naoko Higashi Masaaki Chiwa Kyoichi Otsuki 《Forest Ecology and Management》2009
Japanese cypress (Chamaecyparis obtusa) is one of the most common plantation species in Japan. In most Japanese cypress plantations, closure of the forest canopy hinders understory growth because of insufficient management practices. Thus leaf litter barely covers the soil surface. Such plantations are vulnerable to surface erosion triggered by rainfalls, and could yield large amounts of suspended sediment (SS). However, few studies have investigated the annual SS yield. This study aimed to develop a modified model of SS yields, and to accurately estimate and characterize the annual SS yield from a Japanese cypress plantation. For this, hydrological surveys were conducted for 5 years, and stream water was sampled weekly as well as sequentially at 15–60 min intervals in each of 14 rain events in a small forested watershed of Japanese cypress. The root mean square error (RMSE) and the annual SS yield estimates were obtained using three different equations: the rating curve derived from instantaneous SS concentration versus stream discharge relationship (SSC − Q equation); the rating curve derived from cumulative SS yield versus cumulative specific discharge relationship (∑SS − ∑Q equation); and the multiple regression of cumulative SS yield expressed as functions of cumulative specific discharge and antecedent rainfalls (∑SS − ∑Q × AR equation). The ∑SS − ∑Q × AR equation is a modified model considering the effects of antecedent rain history on the SS yield. The parameters in each equation were determined by a nonlinear least square method. Of the three equations, the RMSE was the highest using the SSC − Q equation. Although the ∑SS − ∑Q equation and the ∑SS − ∑Q × AR equation gave similar RMSE values, the SS yields extrapolated by the ∑SS − ∑Q equation would be overestimated. Thus, the 5-year average of annual SS yield estimated by the ∑SS − ∑Q equation was three times larger than that estimated by the ∑SS − ∑Q × AR equation. These results indicate that the ∑SS − ∑Q × AR equation more accurately estimates the annual SS yield, compared with the other two equations. The results also suggest that antecedent rain history, as well as stream discharge, should be considered for appropriately estimating the annual SS yield. The annual SS yield estimated by the ∑SS − ∑Q × AR equation was the largest among 25 undisturbed forested watersheds, except for two watersheds dominated by sandstone. Our results suggest that the annual SS yield is greater from a Japanese cypress plantation under current management practices than from other undisturbed forests. 相似文献
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玉米精量排种器电驱PID控制系统设计与性能评价 总被引:2,自引:2,他引:0
本文研究了一种基于PID的排种器电驱控制系统,取消了播种机采用地轮和链条驱动的方式,提高了播种机的播种质量和作业速度.采用PID算法控制排种盘转速,在目标转速与当前转速差异较大时,加入PID积分分离算法,以减少转速的超调量.通过整定后的PID参数为:Kp=16、Ki=0.05、Kd=36,在其排种盘转速范围为0~24r/min时,响应时间、超调量、稳态误差分别为0.4秒,1.56%和0.75%.试验结果表明,在12km/h的高速播种作业条件下,采用该电驱控制系统的排种器排种单粒率仍然可达到98.4%,其重播率和漏播率小于1%.采用本文研究的基于PID算法的排种控制系统可以获得良好的排种质量和更高的排种速度,使排种器更适宜高速精量播种. 相似文献