Machine Translation Using Constraint-Based Synchronous Grammar

Introduction In machine translation,analysis of the structural devia-tions of the languages pairs is key to transforming one language into another.This analysis requires a large number of structural transformations,both grammati-cally and conceptually.The…     

多目标协调与权系数选择

研究了加权ｐ范数函数及其一阶偏导数，协调解表面及其法向量，多目标协调和单 目标极小化等问题，找出权系数、ｐ范数法中的ｐ值及协调解构成的超面之法向量之间 的关系，从两方面论证了选择权系数的公式。还讨论了公式中引入近似替换量的方法及 其在求解协调解中的作用。给出了用无穷大ｐ范数法求解多目标问题时，权系数的几何 含义并论证了当ｐ范数法中的ｐ值从１向∞升值时，求得的协调解轨足 的变化情 况。这些对指导多目标协调有着重要意义。     

Adaptive Under-Frequency Load Shedding

Under-frequency load shedding （UFLS） is used in the power industry to rescue systems facing extreme disturbances to avoid system collapse. Traditionally, many computations are repeated to seek the proper power system settings such that the UFLS provides the desired good performance for selected scenarios. An adaptive UFLS method based on the genetic algorithm was developed to automate the finding of optimal parameters to minimize the repetitive trial-error calculations. Simulations demonstrate that the method has better performance than previous schemes and reduces the time and effort of the repetitive simulations.     

Fuzzy-Expert Diagnostics for Detecting and Locating Internal Faults in Three Phase Induction Motors

Internal faults in three phase induction motors can result in serious performance degradation and eventual system failures if not properly detected and treated in time. Artificial intelligence techniques, the core of soft-computing, have numerous advantages over conventional fault diagnostic approaches; therefore, a soft-computing system was developed to detect and diagnose electric motor faults. The fault diagnostic system for three-phase induction motors samples the fault symptoms and then uses a fuzzy-expert forward inference model to identify the fault. This paper describes how to define the membership functions and fuzzy sets based on the fault symptoms and how to construct the hierarchical fuzzy inference nets with the propagation of probabilities concerning the uncertainty of faults. The designed hierarchical fuzzy inference nets efficiently detect and diagnose the fault type and exact location in a three phase induction motor. The validity and effectiveness of this approach is clearly shown from obtained testing results.     

Machine Translation Based on Translation Corresponding Tree Structure

Introduction The construction of the bilingual knowledge base is vi- tally critical to the development of example-based ma- chine translation systems[1]. In the translation process, the application of bilingual examples is concerned with how examples are …     

On-Line Fast Motor Fault Diagnostics Based on Fuzzy Neural Networks

An on-line method was developed to improve diagnostic accuracy and speed for analyzing running motors on site.On-line pre-measured data was used as the basis for constructing the membership functions used in a fuzzy neural network(FNN)as well as for network training to reduce the effects of various static factors,such as unbalanced input power and asymmetrical motor alignment,to increase accuracy. The preprocessed data and fuzzy logic were used to find the nonlinear mapping relationships between the data...     

医疗数据中知识发现的研究

介绍了ID3决策树算法建立决策树的基本原理和改进方法,利用改进的决策树算法对心脏病医疗诊断数据进行数据挖掘·采用VisualC++6 0进行编程建树,得到了一些有实际参考价值的诊断规则,获得了较高的分类准确率,证明了决策树算法在智能医疗诊断数据挖掘领域有着广泛的应用前景·