人工神经网络技术在统计模式识别领域中的推广能力上成为了一个替代技术。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
人工神经网络在模式识别中的应用。
Application of artificial neural networks to pattern recognition.
模式识别成为人工神经网络特别适宜求解的一类问题。
Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
人工神经网络已被广泛应用于气体传感器阵列的模式识别研究中。
ANN has been widely used for the pattern recognition of the gas sensor array.
研究结果表明，人工神经网络用于陶瓷原料的模式识别，其结果和实际一致。
The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
神经网络作为一种智能技术，已经在模式识别、认知科学、人工智能和最优化问题等领域中得到了较好的应用。
As a kind of intelligence technique, neural network has already been used in identification model, perception science, artificial intelligence and option.
椭球单元通过高斯分布逼近形成各模式类的决策区域，是一种非常适合于模式识别任务的前馈型人工神经网络模型。
Neural Networks with Ellipsoidal Activation Functions closes in upon a decision making region by Gauss distribution for various patterns and is adapted to fault diagnosis well.
利用R BF人工神经网络及SVM模型建立电弧声信号与焊接状态的映射模型，从而实现焊接过程状态的模式识别。
RBF Network and SVM model are used to set up the image model of arc sound signal and welding state in order to realize the pattern recognition on-line of the welding conditions.
针对大气环境中的数据监测与模式识别问题，应用人工神经网络理论，在自然环境大气腐蚀试验网站建立大气环境质量B - P网络评价模型。
Aim at data inspection and mode identification of atmospheric environment, B-P network evaluation mode was established by the application of artificial neural network theory.
由于这类神经网络能存储双极向量对，并在模式识别、联想记忆、人工智能等方面有广泛应用，对这类模型的研究引起很多学者的关注。
The class of networks has wide applications in many fields such as pattern recognition, associative memory and artificial intelligence. Such model caused much attention of researchers.
从化学定量构效关系、模式识别法、人工神经网络、波谱化学、多元校正分析法等方面对化学计量学在分析化学中的应用进行了综述。
Application of chemical metrology in the analytical chemistry were summarized in aspects of QSAR, chemical pattern recognition, ANN, spectrum chemistry and multi-proofread.
应用人工神经网络进行目标识别是当前模式识别的重要方法之一。
It is one of the important methods of pattern recognition to apply neural networks to target classification.
在应用地球物理领域中，人工神经网络在模式识别和油气预测方面得到了较好地应用。
Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
人工神经网络诊断特点与基于模式识别的诊断特点非常相似。
The diagnostic features using artificial neural networks coincide well with features based on pattern recognition.
近年来，人工神经网络广泛应用于故障诊断、模式识别、水文预报等领域。
In recent years, artificial neural network is widely applied in breakdown diagnosis, pattern recognition, hydrology forecast and so on.
采用分级的人工神经网络进行放电模式识别，取得较好效果。
A 2-stages artificial neural network is trained to recognize different discharge patterns and the recognition rates are satisfying.
采用分级的人工神经网络进行放电模式识别，取得较好效果。
A 2-stages artificial neural network is trained to recognize different discharge patterns and the recognition rates are satisfying.
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