It mainly consists of sensor arrays and pattern recognition systems.
主要由传感器阵列和模式识别系统组成。
The classifier design is a key step for pattern recognition systems.
分类器设计是模式识别系统中的关键步骤之一。
The classifier design is a key step for pattern recognition systems, which can effect performance of system.
分类器设计是模式识别系统中的关键步骤之一，它直接影响到系统的分类能力。
The researcher thereby starts from global ideas on how pattern recognition systems may work and tries to verify them in his own thinking and reasoning.
研究者从能使模式识别系统工作起来的全局思路出发，设法检验他自己的思路和理论哪些是有用的。
Fig. 1 shows the three main stages of pattern recognition systems: Representation, Generalization and Evaluation, and an intermediate stage of Adaptation [20].
图1显示了模式识别系统的三个主要阶段：表示、推广和评估，还有一个中间过程是适配。
It also indicates applicability of knowledge-based pattern recognition principles to the design of expert systems in AI.
它表明基于知识的模式识别的原理可以应用到人工智能专家系统的设计中。
Since multiple classifier systems can to some extent improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器系统能够在一定程度上弥补单个分类器的缺陷，因此它在模式识别中得到了广泛的应用。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
To solve the pattern recognition problems, the neural network can achieve the involved demarcate of earmark space, and it cut out for high acceleration and parallel systems to achieve.
神经网络对于解决模式识别问题来说，可以实现特征空间较复杂的划分，适合于高速并行处理系统来实现。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
While the early application systems are all localized in the frame of pattern recognition, it is inconvenient to use, and recognition rate should be improved further.
而早期开发的联机手写公式识别系统局限在模式识别的框架之中，用户使用起来不是很方便，并且识别率也有待进一步提高。
Since multiple classifier systems(MCS) can improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器组合方法可以在一定程度上弥补单个分类器的不足，提高分类性能，因此，它在模式识别领域得到广泛的应用。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Pattern recognition methods, capable of advanced decision making without a precise description of the pro-cess model, have been used in many cases to implement advanced control systems.
模式识别方法本质上是一种分类方法，它不需要过程的数学模型就可做出高级决策。
The pattern recognition ability may also be found in other biological systems: the cat knows the way home, the dog recognizes his boss from the footsteps or the bee finds the delicious flower.
模式识别的能力也可以在其它生物中被发现到：猫可以知道回家的路，狗能够识别主人的脚印，蜜蜂会发现它要采蜜的花。
A life period model of pattern recognition and artificial intelligence systems-tree structure model is put forward in this paper.
提出一种对模式识别与人工智能系统都适应的生存期模型—树状模型。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
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