| 1. | A reliability analysis for uncertain reasoning with specified tolerance
模糊推理在特征识别中的应用研究 |
| 2. | All above discussion is to provide suitable foundation and method for uncertain reasoning
以上的讨论为处理不确定性推理提供了适当的途径。 |
| 3. | The structure model is a nonlinear model in nature , and can be composed of a group of uncertain reasoning rules easily
这种结构模型是一种本质非线性模型，可以很容易由一组不确定性推理规则构成。 |
| 4. | In the paper , the models of uncertain reasoning are focused , such as the reasoning model of bayes probability , reliability theory , d - s evidence theory and neural network
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。 |
| 5. | Artificial intelligence is an important research field and widely concerned in the science of computer . meanwhile , the study of uncertain reasoning is also an active branch and the key technology
人工智能是计算机科学的一个重要研究领域，受到广泛关注，而人工智能中的推理研究是最为活跃的研究方向与核心技术之一。 |
| 6. | This paper develops a reasoning algorithm special for the combination of predicate presentation and fuzzy knowledge , which effectively solves the conflict between predicate logic and uncertain reasoning
为了解决谓词不能有效的进行不精确推理的问题,提出了针对谓词结合模糊知识的推理算法,建立了基于谓词的模糊推理系统。 |
| 7. | For uncertain reasons , the former guard of ministry of army , lee yi - yuan beating an italian , an american and a briton near the peking embassy district on april 13 , 1924 , caused a grave international dispute
1924年4月13日，前陆军部卫兵李义元，因为不明原因在北京使馆区附近地先后殴打了义、美、英三国公民，引起重大国际纠纷。 |
| 8. | By the experience , we can draw the conclusion that every models of uncertain reasoning in the information fusion have different characters , if these models are considered form different applied areas , the conclusion must be acquired differently
实验表明，利用不同的不确定推理模型，并将之应用于信息融合中，各有优劣，各有独到之处，从不同角度出发考虑推理模型的性能，会得到不同的结论。 |
| 9. | 3 ) after analyzing advantage and disadvantage of neural network and fuzzy reasoning , a project to solve real - time , fault tolerance and uncertain reasoning problems of c3i systems and a data fusion architecture of c3i systems are proposed
3 )在分析人工神经网络和模糊推理优缺点的基础上，基于互补思想，提出神经网络?模糊推理融合解决方案，以解决c3i数据融合的实时性、容错性和对不确定信息的推理等问题；提出了基于神经网络? ?模糊推理现代c3i数据融合框架。 |
