In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
该方法利用加速度传感器的动态标定数据，采用遗传神经网络搜索和优化动态模型参数。
In this paper, a segmentation method is proposed by using genetic neural network and texture information.
提出了一种基于纹理信息和遗传神经网络的图像分割方法。
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。
A new mutual genetic operator based three stages feedforward neural network training method is proposed in this paper, which divides neural networks training procedure into three stages.
论文提出了一种新的基于互补遗传算子的前馈神经网络三阶段学习方法。该方法把神经网络的学习过程分为三个阶段。
This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
提出一种基于遗传算法的神经网络非线性自适应控制方案。
This papers proposes a test and recognition method of genetic BP neural network on common digital modulation modes in RFID standard.
本文对RFID标准中常用的数字调制方式提出了一种基于遗传BP神经网络的测试识别方法。
In order to satisfy the demands of high precision of the coiling temperature, a genetic-neural network method to predict coiling temperature based on data mining is put forward.
为了满足卷取温度高精度的要求，提出了一种基于数据挖掘技术的遗传神经网络方法。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
A method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.
采用神经网络与遗传算法相结合的方法，用黑箱模型计算催化精馏过程，并进行了全局优化；
The inversion method combining the genetic neural network and the discrete element simulation of triaxial tests is proposed for determining the contact model parameters of the conditioned soil.
将神经网络、遗传算法、三轴实验和离散元数值模拟相结合，用于改性砂土等效离散元接触模型参数反演。
The method, which combines the advantages of artificial neural network and genetic algorithm, is an universal one of solving inverse eigenvalue problem.
计算结果及分析表明它是求解一切特征值反问题的有效方法。
To deal with the deficiency in symbol code and binary code in genetic neural network, a new hybrid code method is proposed on the basis of binary code.
对几种改进的遗传算法进行了比较、分析、综合后，提出了一种基于二进制编码的改进遗传算法。
To deal with the deficiency in symbol code and binary code in genetic neural network, a new hybrid code method is proposed on the basis of binary code.
对几种改进的遗传算法进行了比较、分析、综合后，提出了一种基于二进制编码的改进遗传算法。
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