模式辨识

Artificial neural networks has been widely used in pattern recognition, signal and information processing, adaptive controlment, and many other fields because of its self-organize ability, self-adapt ability, robustness and fault tolerance, and which are coming from its parallel processing structure and distribute information storage. But at the same time, they also bring some problems such as the difficulty of getting optimized topology structure and the great training time-consuming, which restrict its reality use.

人工神经网络的并行处理结构和分布式信息存储带来的自组织性、自适应性、鲁棒性和容错性，使得它们在实际应用中已表现出了强大的生命力，成为当今研究的热点之一，已经广泛的应用于模式识别、信号与信息处理、函数逼近、系统辨识和自适应控制的诸多领域，但同时带来了的最优拓扑结构难以确定，训练耗时巨大的问题，也限制了神经网络在实际中的应用。

Based on the evidence theory and the functional group decomposition thought, the paper produced a kind of N-k contingency identification method under this failure pattern.

并基于证据理论和功能组分解思想，给出了该故障模式下的N-k事故辨识方法。

Song Yi,Wang Chengshan.N-k contingency identification method under double failure incident based on evidence theory and functional group decomposition.

双重故障模式下基于证据理论和功能组合分解的N-k事故辨识方法。

Finally, based on the presented techniques, program is worked out to identify the parameters of Dirichlet series of BP2 model.

在此基础上编制的程序，可将BP2模式的Dirichlet级数形式的所有参数辨识出来。

However, this mode of thinking is much easier to recognize in sports because there's a more discernable connection between one's focus and one's results.

然而，这种思想模式在体育中很容易辨识，因为一个人的关注和结果之间的联系很容易认出。

In order to find a quick valid scientific way to identify meat freshness, the article has analyzed that the measuring mechanism of discerning to fresh degree of meat, and structures one set of Intelligence measures, the system of distinguishing which is based on electronic information technology, Photoelectric detection technique, Treatment technology of the picture and Neural network mode recognition technology.

为找出一种快速、有效、科学的检测肉类新鲜度的方法，分析了肉类新鲜度检测辨识机理，构建了一套基于电子信息技术、光电检测技术、图像处理技术以及神经网络模式识别技术的智能检测辨识系统。

Archetypes are recognizable symbols or patterns, which may be simplified or exaggerated to increase their recognizability.

典型是一种可辨识的符号或模式，可以简化，或者扩大，以增加他们的辨识性。

With the deficit in the information processing on facial emotion perception of schizophrenic patients, the neurocognitive training program is based mainly on the Memory Processing Model, Treisman's Attenuation Model, signs of the eye movement, Ellis's Information Processing Model of Face Recognition, Zhuo's Morphological-Tuning Model, Wang's Two-Stage Face Recognition Model, and Anderson's Adaptive Control of Thought. The contents of the training contain self-instruction, feature abstraction, mnemonics, and positive reinforcement.

本研究以记忆历程模式为主轴，参考减弱模式的感官登录与减弱控制机转、眼球凝视现象、脸部辨识讯息历程模式、双阶段脸孔辨识模式的型态侦测模块、二阶段脸孔辨识模式的脸孔与表情表征、思考适应控制模式的陈述与程序知识等部分，并举证精神分裂病患在表情讯息处理历程各阶段－注意、编码、储存、提取的缺损现象，以自我引导、特征抽取、记忆增强、立即回馈等原则，设计神经认知行为取向的脸部表情辨认训练方案。

HMM is good at dealing with sequential inputs,while SVM shows superior performance in classification especially for limited samples.Therefore,they can be combined to get a better and effective multilayer architecture classifier.SVM is used to resolve the uncertainty of the remaining signal which is confusable after the HMM-based recognition.

针对战场环境下声信号的特点，算法综合考虑HMM适合处理连续动态信号及SVM小样本情况下的强分类能力，利用HMM处理待辨识的连续动态信号，将HMM易混淆的信号作为与待辨识信号较为相似的模式类，形成候选模式集，再由SVM在候选模式中对待辨识信号作最后决策。

In fall-down detection, since multiple fall-down patterns are considered, the recognition accuracy of the fall down system is improved from 0.73 to 0.87 and the Kappa value is improved from 0.47 to 0.75. These results show that we have proposed an effective fall down detecting system in this thesis.

在跌倒辨识方面，由於考量了多种跌倒模式使得系统辨识率由先前的0.73提升至0.87，系统信赖度Kappa值由0.47提升至0.75，因此可以证明本论文提出一个能有效侦测跌倒的辨识系统。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了