Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
模式识别成为人工神经网络特别适宜求解的一类问题。
The BP artificial neural network pattern recognition has a 98% accuracy, which may predict the activities of taxol analogues.
四参数的定量构效关系显著性较好，神经网络模式识别总识别率为98%，可较精确地预测化合物的抗癌活性。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
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。
The paper firstly applied artificial neural network to recognize the pattern of silicified limestone, with the rate of success reaching 93.3%.
将人工神经网络模型引入锡矿山硅化灰岩识别的研究中，识别成功率达到93.3%。
The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.
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。
In recent years, artificial neural network is widely applied in breakdown diagnosis, pattern recognition, hydrology forecast and so on.
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。
Aim: To evaluate the application of serum protein fingerprint pattern based on artificial neural network in diagnosis of liver cancer.
目的：建立基于人工神经网络的血清蛋白质指纹图谱模型，并探讨其在肝癌诊断中的应用。
The cellular neural network (CNN) is a powerful tool for image processing and has been used for artificial vision, video compression, image fusion, motion and pattern recognition.
细胞神经网络(CNN)是图像处理的有力工具。它已用于人工视觉，录像压缩，图像融合、运动和图形识别等领域。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
应用推荐