2022年4月1日 · The FHGD is effectively to applied to estimate the parameters of nonlinear control autoregressive (NCAR) systems under different fractional order and noise conditions. The fractional order greater than 1 provides faster convergence speed, less than 1 gives better steady state performance and equal to 1 reduces the FHGD to HGD.

在这项研究中，分数层次梯度下降（fhgd）通过将标准层次梯度下降（hgd）推广到分数阶来有效解决非线性系统识别问题。 FHGD 有效地应用于估计不同分数阶和噪声条件下的非线性控制自回归 (NCAR) 系统的参数。

5 天之前 · 風險評級為1=低風險，2=低至中等風險，3=中等風險，4=中等至高風險，5=高風險。 基金風險評級將一般於每半年進行檢討。 有關基金風險評級及其計算方法的詳情，請參閱此概覽。

2017年12月1日 · In this study, fractional hierarchical gradient descent (FHGD) is proposed by generalizing the standard hierarchical gradient descent (HGD) to fractional order for effectively...

2023年9月8日 · Unlike the conventional hG4 DNAzyme (HGD) that relies on the native hemin cofactor and exhibits relatively low peroxidase activity, FHGD shows significantly improved catalytic efficiency (Scheme 1 A). This enhancement is attribute to the functionalization of the original unnecessary tails of the hemin structure, which now serve as critical ...

2025年3月26日 · OBJECTIVE The fund aims to achieve capital growth over time. INVESTMENT POLICY The fund invests at least 70% (and normally 75%) of its assets, in equities of companies listed in the Greater China region including Hong Kong, China and Taiwan. Some of these investments may be from emerging markets.

通过将天然氯化血红素辅因子替换为功能化辅因子模拟物，FHGD 表现出显着提高的催化效率，从而增强了基于 FHGD 的系统的检测性能。 所提出的 PER-FHGD 系统能够以优异的灵敏度检测 Dam MTase，检测限 (LOD) 低至 0.3 U/mL。 此外，该测定显示了 Dam MTase 抑制剂筛选的显着选择性和能力。 此外，使用该测定法，我们成功检测了血清和大肠杆菌细胞提取物中的 Dam MTase 活性。 重要的是，该系统有潜力成为床旁 (POC) 测试中基于 FHGD 诊断的通用策略， …

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2019年9月8日 · 对于尺 5 q/fhgd 002-2016 寸为公制单位的管件，其公称尺寸用dn表示，对于尺寸为英制单位的管件，其公称尺寸用nps表示； 二者之间的关系见表2： 表2 dn与nps对照表 dn 50 65 80 100 125 150 200 250 300 350 400 450 nps 2 2/21 3 4 5 6 8 10 12 14 16 18 注：nps大于4时，dn 25 （nps）。

In this study, fractional hierarchical gradient descent (FHGD) is proposed by generalizing the standard hierarchical gradient descent (HGD) to fractional order for effectively solving nonlinear system identification problem.