| 1. | Preparation and structure identification of head to head polystyrenes
头头结构聚苯乙烯的合成及结构表征 |
| 2. | Application of 13c - nmr in structure identification of natural products
核磁共振光谱的取代效应在结构测定中的应用 |
| 3. | Isolation and structure identification of chemical principles from paeonia lactiflora pall
赤芍化学成分的分离与结构鉴定 |
| 4. | Research on the structure identification of fuzzy controller ' s rules based on the limiting structure theorem
一种基于极限理论的模糊控制器规则结构的研究 |
| 5. | Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network
研究了模糊聚类分析在多变量模糊神经网络的结构确定中的应用。 |
| 6. | 4 sugeno m , kang g . structure identification of fuzzy model . fuzzy sets and systems , 1988 , 28 : 15 - 33 . 5 sugeno m , yasukawa t . a fuzzy - logic - based approach to qualitative modeling
首先我们利用模糊数据聚集的手法，将变量的宇集分成若干小区接着在每一小区，采取模糊回归分析的技术，推演出最佳的模糊限制式。 |
| 7. | This paper reviews the isolation , structure identification and bioactivitiy research of ocean natural products , 127 cembranoid diterpenes , in the past decades , providing scientific evidence for reasonable exploitation and application of oceanic organisms
摘要综述了近年来海洋天然产物， 127个西松烷二萜类化合物的分离、结构鉴定以及其生物活性研究进展，为海洋生物的合理开发利用提供科学依据。 |
| 8. | According to the analysis of the reason of vibration which comes from reciprocating compressor and the non - stationary characteristic of the signal , in this paper , the method of fault diagnosis in this paper is the model parameter of structure identification and the wave packet decompose
在分析往复式压缩机振动产生的原因以及其振动信号表现出来的非平稳性的基础上,采用了基于结构模态参数识别和小波包分析相结合故障诊断方法。 |
| 9. | It is a difficult problem relates to the structure identification of the system and concerns with the partition of the input and output space and the rule generation of the raw sample data . rough set theory , introduced by zdzislaw pawlak in the early 1980s , is another new powerful mathematical tool to deal with vagueness and uncertainty . it can analyze the imprecise , inconsistent and incomplete information effectively , find out the connotative knowledge and detect the potential rule of the system under consideration
由z . pawlak提出的粗糙集理论是一种刻划不完整性和不确定性的又一个强有力的数学工具，能有效地分析不精确( imprecise ) 、不一致( inconsistent ) 、不完整( incomplete )等各种不完备的信息，还可以对数据进行分析和推理，从中发现隐含的知识,揭示潜在的规律。 |
| 10. | Check the current and voltage on charge or discharge , use fuzzy control principle and ah approach to estimate the soc , and correct the actual charge to get the exact result , in this work , a multi - layer feed forward neural paradigm is used for soc fuzzy estimator design , and a rapid learning algorithm that is realized model structure identification is proposed also , and find the fuzzy principles make use of their massively parallel architecture and learning capacity
构造一多层前馈神经网络来进行模糊推理，提出了一种快速学习算法用于网络的学习过程，利用神经网络的并行计算、自学习的特性，根据样本数据发现模糊推理规则，并在应用过程中对模糊规则自动修正，提高预测准确性。这种方法不需要对蓄电池有很多的先验知识，不需要建立复杂的数学模型。 |
