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- Based on the artificial neural network (ANN), an ANN model for the abrasive water jet cutting process was proposed. 本文基于人工神经网络理论，建立了水射流加工过程的神经网络模型。
- It is shown that the artificial neural network technics is a new approach to develop ATCS for EVA space suits. 结果表明，人工神经网络技术为解决舱外航天服自动温度控制提供了一条新途径。
- According to the result, we make use of the artificial neural network to build the recognizer of species. 基于试验结果，最后应用神经网络知识建立了猕猴桃种类的识别器。
- In addition to serve as a sorterin pattern recognition, the artificial neural network can also extract characteristic parameters. 人工神经网络除了在模式识别中作为分类器应用之外,而且能够实现特征参数的提取。
- On this basis,the artificial neural network model and system architecture of the ventilation systems evaluation is established. 在此基础上,建立了评价通风系统的人工神经网络的数学模型和系统结构。
- A new method for predicting disturbances in the ionosphere by using the Artificial Neural Network (ANN) has been presented. 摘要利用人工神经网络技术，提出预报离散随机的电离层骚扰事件的新方案。
- The experimental results show that the artificial neural network has its own superiority in solving the rotor balancing problem. 试验结果表明，人工神经网络在解决转子动平衡问题时有着独到的优势。
- Now the artificial neural network technology and hierachical processing technology are widely used in remote sensing classifications because of their excellences. 近年来，人工神经网络技术和分层处理技术由于它们的许多优点受到广泛欢迎。
- The test results show that a high accurate and efficient calculating result can be obtained by the tire cornering characteristics model based on the artificial neural network. 试验结果表明，人工神经网络可以产生出具有很高的准确性和计算效率的轮胎侧偏特性模型。
- In this paper, the electromagnetic band gap (EBG) structure is modeled by using the artificial neural network (ANN), and the ANN is trained with the converse method. 摘要文章采用人工神经网络对电磁带隙结构进行建模，并结合逆向方法训练网络；
- In this paper,the electromagnetic band gap(EBG) structure is modeled by using the artificial neural network(ANN),and the ANN is trained with the converse method. 文章采用人工神经网络对电磁带隙结构进行建模,并结合逆向方法训练网络;
- Comparing the result of neural network forecast with that of numerical simulation, fracture time forecasted by the artificial neural network is precise and reliable. 最后将神经网络预测结果与数值计算结果对比,认为应用人工神经网络对立井井筒破裂时间的预测比较准确、实用。
- The artificial neural network and the fuzzy inferential method provided a supplement for the intelligent system of the safety assessment of pressure vessels. 人工神经网络和模糊推理方法为压力容器安全评定智能化系统的建立做了一个补充。
- The models for predicting the recrystallized grain size and the recrystallization volume percent have been established with the artificial neural network. 采用人工神经网络的方法建立了再结晶晶粒尺寸和再结晶体积分数的预测模型。
- It is the continuity work on predicting parison dimensions in extrusion blow molding by means of the artificial neural network (ANN) method, and established a new ANN model. 延续了本课题组在挤出吹塑中利用人工神经网络(ANN)预测型坯尺寸的工作,建立一个新的ANN模型。
- Study shows that the model can improve time-efficiency, knowledge expression understandability and the functions of the artificial neural network to some extent. 该模型可以在一定程度上提高人工神经网络的时效性、知识表达的可理解性，并能增强人工神经网络的功能。
- The artificial neural network method and the multiple regression analysis were respectively applied to the optimal prediction of traps in the northern area of Kuga depression. 将人工神经网络法及多元回归分析法分别用于优选预测库车坳陷北带圈闭的勘探目标,结果发现人工神经网络法远比多元回归分析法优越。
- The dissertation adopted the Artificial Neural Network (ANN) to extend the sensing scope of s-BLM. Using ANN carried out the dada intelligentizing processing. A intelligent sensor system based on s-BLM was basically realized. 采用人工神经网络来扩展基于s-BLM的传感器的敏感范围，并利用神经网络进行了s-BLM传感器数据的智能化处理，基本实现了基于s-BLM的智能传感器系统。
- The obvious superiority of the artificial neural network BP algorithm is shown through the determination of the fluidity of lubricating-oil and the recovery and RSD of benzene and methylbenzene. 通过测定润滑油的流动性、苯和甲苯的回收率及相对标准偏差的两个实例,分析了人工神经网络BP算法的明显优势。
- Abstract: To solve the problem of large deforming and poor accuracy of SLS product ,the method of the artificial neural network is applied in the study of selective laser sintering (SLS) process. 摘 要: 针对选择性激光烧结成型件变形大、 精度较低的问题， 将神经网络方法应用于选择性激光烧结(SLS)加工工艺的研究。
