Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
The constitution method of intelligent CAPP (computer aided process planning) System Based on Knowledge and the implement of Knowledge Base and reasoning machine are proposed and discussed.
提出了基于知识的智能化CAPP系统的构造方法及知识库与推理机的实现。
The paper proposes computer Go system structure based on expert system design whose core parts are knowledge base and inference machine.
论文提出了基于专家系统设计思想的计算机围棋博弈系统结构，知识库和推理机是该系统的核心部件。
Based on the parallel knowledge base machine PKBM95, in order to solve the convergence problem, this paper presents a method called sequential rule-locking.
基于并行知识库机pkbm 95，为了解决收敛性问题，本文给出了一种称为规则顺序锁定的方法。
Translation example base is the main knowledge source of example-based machine translation system.
翻译实例库是基于实例的机器翻译系统的主要知识源。
Give out a explanation based machine learning method and how to apply it into extracting computer Go life-death knowledge.
给出了基于解释的机器学习方法在电脑围棋死活知识学习中的应用。
A new knowledge representation method in electrical machine design based on artificial neural net - works is presented.
提出了一种新的、基于人工神经网的电机设计知识表示方法。
The purpose of establishing a scientific process is to create the most stable and reliable process possible, based on good fundamental knowledge of the mold, machine, material, and process.
建立一个科学工艺的目的是基于模具、设备、材料和工艺的好的基础知识，创建最稳定的和可靠的工艺。
Based on fault tree analysis (FTA) theory, an object-oriented knowledge representation method in a fault diagnosis expert system for machine tools was studied.
针对所研究的机床故障诊断专家系统，以故障树分析法为基础，采用面向对象的事件知识表示方法。
This method (300) can provide software-based compensation for a wide range of machine configurations, without apriori knowledge of singularities for a given machine.
该方法（300）可以为广泛的机床配置提供基于软件的补偿，而不需要知道给定机床奇异性的先验知识。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
Therefore, to re-examine human-machine relationship, and to establish a more effective human-based, machine supplemented knowledge service system is a better solution.
因此，重新审视人机关系，建立更为有效的以人为主机器为辅的知识服务系统是一种比较好的解决思路。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
With the neural network based approach, human knowledge and machine learning are effectively combined together in the semantic inference.
通过这种方法，我们能够准确地提取多媒体传感器网络中的音频高层语义信息。
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