Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.
位置的确定采用PNN神经网络，截面刚度的识别采用RBF神经网络。
A cantilever beam model is established by simulation. And using BP neural network identify the damage location. The results reveal that the BP neural network for single damage identification.
通过对一个悬臂仿梁建立仿真模型，运用BP神经网络对其进行损伤位置识别，结果表明，BP神经网络对单一损伤位置识别效果很好。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
In the second stage, the artificial neural network is used to identify damaged member in a damaged segment.
第二阶段，在已知损伤桥板段后，采用神经网络方法来识别具体的损伤构件。
The former first eliminate the shadow of moving objects, and then extract shape invariant moment characteristics of object's whole region and identify them by a BP neural network.
前一种方法是在去除目标影子的前提下，提取运动目标整体形状的不变矩特征，然后利用BP人工神经网络进行目标的识别。
The paper introduces a method to identify the log curve shape using self-organization neural network.
这里介绍一种利用自组织神经网络识别曲线形态的方法。
The main purpose of this thesis is to identify oil and gas layers in the igneous reservoirs by using the neural network based on the common well logs.
本文研究的主要目的是：以常规测井资料为基础，应用神经网络技术来识别火成岩储层中的油气水层。
This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm.
通过引入LM优化算法，针对矩形薄板中对称结构的损伤识别问题，提出了一种基于神经网络的分区域分步识别方法。
Based on genetic neural network and modal strain energy, a two-stage method for detecting diagonal cracks is proposed to identify the location, Angle and depth of diagonal cracks in beams.
基于遗传神经网络与模态应变能，提出了一种斜裂缝两阶段诊断方法，识别梁体中斜裂缝的位置、角度和深度。
Objective To identify typical pathological images by using the neural network based on cross-entropy method.
目的探讨利用基于交叉熵的神经网络识别典型病理图像。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
On the basis of this system, artificial neural network is used to perform qualitative analysis and identify type of gasoline.
在此基础上，利用人工神经网络对之进行定性分析，可鉴别汽油型号。
The experimental results reveal that the designed BP neural network can identify the damage successfully.
结果表明，设计的BP神经网络可以成功地识别结构的损伤。
RBF neural network is a three-layer feedforward network and can be used to identify nonlinear model effectively.
RBF神经网络是一种三层前向网络，可有效用来进行非线性模型的辨识。
The results show that the method of BP neural network used to identify moving force based on the dynamic model can effectively identify the moving force on the simple beams and continuous beams.
研究结果表明，基于动力模型的BP神经网络移动荷载识别方法，能够有效识别简支梁桥与连续梁桥上的移动车载；
Then a neural network was built to identify the new model based on simplified hysteresis operators.
采用简化迟滞算子对模型进行预处理后，构造神经网络实现模型的辨识。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
The paper introduces a method to identify well logging facies using self organization neural network, which is a non-supervisor learning algorithm.
作者在本文中介绍了一种利用自组织神经网络进行测井相识别的方法。
Abstract: Objective: to investigate neural network based on cross entropy method to identify typical pathological images.
摘要目的探讨利用基于交叉熵的神经网络识别典型病理图像。
Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.
然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。
In the second stage, the artificial neural network is used to identify damaged member in a damaged segment. The results show that the pro…
数值模拟结果表明 ，采用本文提出的损伤指标、采用神经网络方法 ，分两阶段进行青马大桥桥板结构的损伤位置识别是有可能的。
License plate recognition, neural network algorithm, the recognition rate as high as 95 percent, to identify less than 80ms.
详细说明：车牌识别，神经网络算法，识别率高达95%，识别时间低于80ms。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
An ART2 neural network based on adaptive resonance theory is put forward in this work to identify the damage of the structures and to realize the on-line self-study of the network.
目的基于自适应共振理论，提出一种基于ART2神经网络的结构损伤识别方法，以实现结构损伤识别的自主学习。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
This paper presents a method employing neural network to identify water content and evaporating coefficient, difficult for in process measurement, controlling water added in sinter mixture.
提出了一种利用神经网络对2个难测量的参数进行在线辨识的方法，从而控制烧结混合料的加水量。
This paper presents a method employing neural network to identify water content and evaporating coefficient, difficult for in process measurement, controlling water added in sinter mixture.
提出了一种利用神经网络对2个难测量的参数进行在线辨识的方法，从而控制烧结混合料的加水量。
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