洋人洋马铃薯高产栽培数学模型的研究

为提高洋人洋马铃薯的产量,采用四元二次回归正交旋转组合设计方法,对影响洋人洋高产栽培的主要农艺措施进行研究。试验结果表明,各试验因子对马铃薯产量的影响程度大小为密度>磷肥>钾肥>氮肥;通过计算机模拟寻优,得出洋人洋产量大于2 700 kg/667 m^2的综合农艺措施为:种植密度4 522~4 871株/667 m^2、尿素施用量14.48~16.42 kg/667 m^2、过磷酸钙施用量27.03~32.97 kg/667 m^2、硫酸钾施用量34.46~45.54 kg/667 m^2。

An Approach to Improving the Retrieval Accuracy of Oceanic Constituents in Case Ⅱ Waters

In the present paper, a method is proposed to improve the performance of Artificial Neural Network (ANN) based algorithms for the retrieval of oceanic constituents in Case Ⅱ waters. The ANN-based algorithms have been developed based on a constraint condition, which represents, to a certain degree, the correlation between suspended particulate matter (SPM) and pigment (CHL), coloured dissolved organic matter (CDOM) and CHL, as well as CDOM and SPM, found in Case Ⅱ waters. Compared with the ANN-based algorithm developed without a constraint condition, the performance of ANN-based algorithms developed with a constraint conditions is much better for the retrieval of CHL and CDOM, especially in the case of high noise levels; however, there is not significant improvement for the retrieval of SPM.