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- Segmentation of Medical Ultrasonic Image Using Hybrid Neural Network. 超声医学图象分割的混合神经网络方法。
- SUI Q M,WANG ZH OU.A hybrid neural network model and simulation for fermentation processes[J].Journal of System Simulation,2002,14(4):415-417. [5]隋青美;王正欧.;发酵过程混合神经网络模型及其仿真
- A complex exothermic batch reactor model was developed by using structure approaching hybrid neural networks(SAHNN). 摘要 利用结构逼近式混合神经网络(SAHNN)建立了一类典型放热液相二级平行间歇反应的数学模型。
- CSTR model and process of PET had been applied as the simulated models for hybrid neural network, and RLS and RPE algorithm had been used for both serial and parallel hybrid networks to the simulations. 作者将CSTR模型和聚酯生产过程作为仿真对象,分别采用最小二乘学习方法和RPE学习方法,利用串联和并联的混合网络对仿真对象的建模进行实验。
- Keywords BSNN;linear recurrent neural network;hybrid neural network;CSTR; 样条网络;线性递归神经网络;混合神经网络;连续搅拌釜式反应器(CSTR);
- hierarchical hybrid neural networks(HHNN) 分级混合神经网络
- structure approaching hybrid neural networks 结构逼近式混合神经网络
- Hybrid Neural Network and Its Application on Edge Detection of Globular Materials 混合神经网络在颗粒图像边缘检测中应用
- COMPARATIVE STUDY OF THE HYBRID NEURAL NETWORK MODELING APPROACH TO FERMENTATION RPOCESSES 发酵过程混合神经网络建模方法比较
- A Hybrid Neural Network and Its Application on Edge Detection of Globular Material 一种混合神经网络在颗粒图像边缘检测中的应用
- Development of cognitive function of cerebral neural network: an optimization system for injection molding parameters based on hybrid neural network and genetic algorithm 大脑神经网络认识的开发性研究:基于混合神经网络与遗传算法方法的注塑参数优化系统
- Mok, S.L., Kwong, C.K., Lau, W.S., 2001,”A Hybrid Neural Network and Genetic Algorithm Approach to the Determination of Initial Process Parameters for Injection Moulding”; 陈励生、许栋梁,2001,类神网路应用于机台参数设定:以焊线机为例,中国工业工程学会九十年度年会暨学术研讨会。
- HYBRID NEURAL NETWORKS BASED PORTAL CRANES'LUFFING SYSTEM OPTIMAL DESIGN 基于混合神经网络的门座起重机变幅机构参数优化设计
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- hybrid neural network 混合型神经网络
- Modeling and Optimization of Ultrasonic Extraction Technique of Glycyrrhizic Acid Using Hybrid Neural Networks 甘草酸超声提取工艺的混合神经网络模拟及优化
- In order to improve the network generalization ability, Neural Network Ensembles was introduced into this hybrid model. 为进一步提高预测精度,引入了神经网络集成技术以改善网络泛化能力。
- The neural network can preferably solve the non-linear problem. 利用神经网络建模可以较好地解决非线性问题。
- A neural network trained with such a hybrid algorithm works well in the forecasting of pump flowrate. 将这种算法用于齿轮泵出口流量预测,证明了这种算法学习速度快且能收敛于全局极小点。
- Wavelet-based and neural network papers from the Journal Network! 详细说明:基于小波和神经网络的论文,来自期刊网!