1) One-step weight-determination
权值一步确定
2) weighting ascertainment
权值确定
1.
The method of feature weighting ascertainment in text categorizing determines the text feature pick-ups.
文本表示中特征项的权值确定方法决定了文本特征的提取,在很大程度上影响了文本分类的准确率。
3) Indefinite weight
不确定权值
4) weights-direct-determination
权值直接确定
1.
On weights-direct-determination method of PID neurons’network
PID神经元网络之权值直接确定法研究
2.
Then a weights-direct-determination method was derived to decide the neural-network weights immediately, which remedied the weaknesses of conventional BP neural networks such as small convergence rate, easily converging to local minimum and possibly lengthy or oscillatory learning process.
以平方可积空间上的复指数Fourier级数作为激励函数构造了新型Fourier神经元网络,并推导出采用加号逆表示的网络权值直接确定公式,克服了传统BP神经网络收敛速度慢、易陷于局部极小点、迭代学习易发生振荡等缺陷。
3.
According to least square theorem,a pseudoinverse-based weights-direct-determination method is further presented to determine the neural-weights just in one step.
依据最小二乘原理,推导出基于伪逆的最优权值一步计算公式———简称为权值直接确定法;在此基础上,提出基于指数增长和折半删减搜索策略的隐神经元数自适应增删搜索算法。
6) weighted uncertain reasoning
权值法不确定推理
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参考词条