建立了用于水质综合评价的遗传神经网络模型。
A model based on genetic neural network was set up for comprehensive assessment of water quality.
结合遗传算法，构造了布局子问题的遗传神经网络算法。
Then a genetic neural network for layout sub-problem is produced with GA and NN integrated together.
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。
In this paper, a segmentation method is proposed by using genetic neural network and texture information.
根据电力负荷预测的特点，提出遗传神经网络负荷预测模型。
According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model.
摘要：通过神经网络的建模，建立的遗传神经网络的预测系统。
Abstract: : By modeling and neural network, we built the prediction system of genetic neural network.
针对水质综合评价问题，提出了基于隶属度-遗传神经网络的水质综合评价模型。
A comprehensive assessment model of water quality was set up based on subordinate degree and genetic neural network.
最后，实际的大坝位移是训练有素的遗传神经网络的输入获得的真材实料的参数。
Finally, the actual dam displacement was input into the trained genetic neural network to obtain the real material parameters.
应用遗传神经网络模型对台阶压碴爆破效果进行了预测，增强了预测结果的可靠性。
In this paper bench tight blasting effects are predicted by genetic neural network, then the reliability of predicting effects is enhanced.
应用遗传神经网络模型对台阶压碴爆破效果进行了预测，增强了预测结果的可靠性。
Predicts bench tight blasting effects by genetic neural network, which can enhance the reliability of predicting effects.
应用遗传神经网络模型对台阶压碴爆破效果进行了预测，增强了预测结果的可靠性。
Predicts bench tight blasting effects by genetic neural network, which can enhance the reliability of predicting effects. Genetic neural network is the model of human brain.
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。
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.
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 method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
数值算例表明，遗传神经网络在锚杆极限承载力预测中具有较高的计算效率和识别精度。
The presented example shows that the genetic neural network is of both higher computing efficiency and higher identification accuracy in estimating the bolt bearing capacity.
结果：对遗传神经网络模型所预测的最佳分离条件进行实验，获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
针对柔性加工过程的特征，研究了基于遗传神经网络的加工误差在线建模预报的方案和关键技术。
According to the feature of flexible machining, it be studied that the scheme and key technology of on-line modeling and prediction of machining error based on genetic neural network.
数值算例表明，遗传神经网络在求解坝基岩体渗透系数反演问题中具有较高的计算效率和识别精度。
The presented numerical example shows that the genetic neural network is of both higher computing efficiency and higher identification accuracy.
针对蔗糖结晶过程控制中存在的模型复杂性和检测困难等问题，建立了蔗糖结晶过程的遗传神经网络模型。
In view of the model nonlinearity, the complexity, and the measuring difficulty in the crystallizing process of cane sugar, a genetic neural network model is established.
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。
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.
提出一种基于遗传神经网络的主机负载预测模型，并基于该模型设计了集中式任务调度算法CJD - HLP。
A host load prediction model based on heredity-neural network is proposed, and center task scheduling algorithm CJD-HLP based on the model is designed.
实践证明这种基于遗传神经网络方法的故障诊断系统具有收敛速度快、推广性能强的特点，极大提高了发动机故障诊断系统的效率和准确性。
The convergence and generalization ability of the genetic and neural network system is improved remarkably and the accuracy and the efficiency of engine diagnosis system are added.
实践证明这种基于遗传神经网络方法的故障诊断系统具有收敛速度快、推广性能强的特点，极大提高了发动机故障诊断系统的效率和准确性。
The convergence and generalization ability of the genetic and neural network system is improved remarkably and the accuracy and the efficiency of engine diagnosis system are added.
应用推荐