On the basis of the backward model performance, a novel fast recipe selection strategy is proposed and estimated.
根据逆向模型的精度，提出并评估了一种新颖的快速配方选择策略。
Simultaneously, this model performance was evaluated from the perspective of consistence and computational complexity.
同时，从一致性和计算复杂度方面对模型性能进行了评价。
The simulation results of the model performance are analyzed to prove the convergence time, node querying speed and adaptability to churn are better than the traditional model.
并在仿真测试中对该模型的性能进行了分析，证明该模型在收敛时间，节点查询速度，和对扰动的适应性方面优于传统的模型。
Using this model to calibrate Xinanjiang model can directly assess the model performance, calibrate the model parameter automatically, and significantly improve the efficiency of calibration.
采用该方法进行新安江流域水文模型的参数优选，可以直接对模型性能进行全面评价，自动率定模型参数，显著提高了模型率定效率。
A performance index of error was presented. This index is a kind of evaluation of neural fuzzy model performance and synthetically considered training error and checking error of NFS.
提出了一种综合考虑了训练误差和检验误差的评价神经模糊模型性能的误差性能指标。
Besides, several key problems about how to operate green take-back system of ELV are pointed out, such as take-back network, take-back model, performance evaluation, etc.
并指出了报废汽车绿色回收系统研究需要解决的几个关键技术，如回收网络、回收模式和绩效评价等。
They are definition model, experience model, situation model, emotion model, skill model, performance model, creation model, corporation model and investigating model.
概念模式、体验模式、情境模式、情感模式、技能模式、表演模式、创作模式、探索模式、合作模式等。
They are definition model, experience model, situation model, emotion model, skill model, performance model, creation model, corporation model and investigating model.
概念模式、体验模式、情境模式、情感模式、技能模式、表演模式、创作模式、探索模式、合作模式等。
应用推荐