The technique of artificial intelligence, especially the combination of neural network and data mining points out a new way for the research of data mining theories and methods.
人工智能技术，特别是神经网络技术与数据挖掘的结合为数据挖掘理论和方法的研究指出了一条新的道路。
Method: The artificial neural network of reverse transmission and absorbance subtraction technique were used.
方法：联合应用反向传播人工神经网络和吸光度减法技术。
Methods the neural network technique was applied to estimate the output of an impeller artificial heart.
方法应用神经网络技术检测叶轮式人工心脏的输出流量。
The artificial neural network technique is applied to the calculation of runoff amount. The BP network model is set up for the calculation of runoff amount.
将人工神经网络技术应用于径流水量还原计算，建立起径流水量还原计算的BP网络模型。
As a kind of intelligence technique, neural network has already been used in identification model, perception science, artificial intelligence and option.
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。
The corrosion of carbon steels in the oil field soil and its influencing factors were studied with artificial neural network technique.
利用人工神经网络技术对碳钢在油田现场土壤中的腐蚀进行了研究。
Artificial neural network technique was applied to calculate the locations of the metal front at time intervals in the lost foam casting (LFC).
用人工神经网络算法计算了消失模铸造充型过程中不同时刻液态金属-模样界面的位置。
According to outputs of eight finger force sensors the grasping force of gripper is obtained using the multi-sensor data fusion technique based on the BP artificial neural network.
针对舱外自由移动机器人手爪，运用BP神经网络方法，对八个指力传感器的输出进行融合，得到手爪夹持力的大小。
The application of the artificial neural network technique to the Frequency Response Analysis method (FRA) which is used to detect transformer winding deformation is presented.
探讨了人工神经网络技术在检测变压器绕组变形的频率响应法中的应用。
This paper presented particle swarm optimization (PSO) technique to train multi layer artificial neural network for predicting model of diameter errors of boring processes.
采用粒子群算法对镗孔加工尺寸误差人工神经网络预测模型进行优化。
This paper presented particle swarm optimization (PSO) technique to train multi layer artificial neural network for predicting model of diameter errors of boring processes.
采用粒子群算法对镗孔加工尺寸误差人工神经网络预测模型进行优化。
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