提出一种基于神经网络集成的舌苔自动分类方法。
This paper presents a method for tongue coat automatic classification based on the neural network integration.
比较了神经网络集成中的最优集成，平均集成和加权集成。
Three linear combination of neural networks, optimal ensemble, average ensemble and weight ensemble are compared.
提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
A new method of rough set and neural network for fan trouble diagnosis is presented.
实验证明，采用神经网络集成的方法能有效提高网络的泛化能力。
As it proved that, the neutral network compositive method can efficiently elevate the extension ability of the ANN.
采用神经网络集成技术，克服选取网络中间层节点数目及判断阈值的困难。
The technique of neural network ensemble was used to resolve the difficulties of choosing the number of network middle layer and the threshold of judgement.
以一个典型的微阵列基因表达数据集为背景研究了神经网络集成的理论和方法。
The theory and method of neural network ensemble were studied in the given gene expression data.
提出一种基于神经网络集成的专家系统模型，并给出神经网络集成的构造算法。
The expert system model based on neural network ensembles is presented. A construction algorithm of the neural network ensembles is given.
提出一种基于核主元分析(KPCA)和多级神经网络集成的汽轮机故障诊断方法。
One new method for fault diagnosis of steam turbine based on kernel principal component analysis (KPCA) and multistage neural network ensemble was proposed.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
针对神经网络在潜在通路分析应用中的缺陷，提出了二进制神经网络集成(BNNE)算法。
To overcome the shortcomings of the sneak circuit analysis (SCA) based on BPNN, a binary neural network ensemble (BNNE) algorithm for the sneak circuit analysis (SCA) is proposed.
该模型在传统专家系统基础上，增加了神经网络集成模块，以解决知识的自动获取和推理问题。
Based on the traditional expert system, the integrated module of neural network ensembles is applied in this model in order to insure the automatic acquisition of knowledge and reasoning.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
该技术首先对神经网络集成中的个体之间进行负相关处理提高个体的差异度，然后选择训练误差较小的个体来提高个体的精确度。
During the process of training, individual networks are trained using negative correlation learning to improve their diversity, and then networks with small errors are chosen to improve the accuracy.
提出并实现了一种基于专家系统和神经网络集成的方法。同时给出了系统的硬、软件结构，并通过实验证明该智能故障诊断系统的可靠性和准确性。
We put forward an module integrated expert and neural network. The hardware and software are also given. It is proved that the intelligent integrated system effctive.
神经网络的权值存储是集成电路实现技术中涵待解决的重要问题。
The storage of neural network weight is an important problem of VLSI implementation to be solved.
动态图形模拟器是从属于集成环境，并受之驱动的专用模拟器，它实现了神经网络动态变化过程的模拟。
The dynamic graphical simulator which realizes the dynamic procedure simulation of artificial neural network is driven by and belongs to this environment.
特征量被预处理后，输入到集成bP神经网络分类器中分类。
Finally, the features are preprocessed, then classified by integrating BP neural networks.
基于此，本文提出了基于集成神经网络的城市道路交通流量的融合预测模型。
Accordingly, this paper proposes a fusion-prediction model of traffic-flow in urban road-intersection based on integrated ANN (Artificial Neural Network).
针对单个神经网络的不足，以信息融合技术为基础，建立了集成神经网络故障诊断系统。
With an aim at the disadvantages of single neutral network, this paper sets up integrated neutral-network fault-diagnosis system based on information fusion technology.
其中，顶板岩层结构探测仪是集成在风动锚杆钻机上，数据处理采用训练成熟的BP算法神经网络进行结构的识别；
Thes detecting structure instrument of the roof rock is integrated in the pneumatic bolt drill and data processing is adopted BP algorithm of mature net to identify the structure.
本文建立了一个集成型神经网络手写体数字识别系统，系统主要由两部分构成，即：学习部分和识别部分。
In this paper, a handwritten digit recognition system based on integrated neural network is set up. The system was consisted of two parts: Learning part, recognition part.
考虑到众多故障信息的相互影响，基于神经网络和专家系统的集成实现智能化诊断。
Considering that much faults information is interactional, intellectualized diagnosis is implemented based on integrating the neural network with the expert system.
利用系统的冗余信息，提出了基于D - S证据理论对集成神经网络的输出进行融合的方法。
To take advantage of redundancy information, this paper gives a new method that implement the output data fusion of integrated neural network based on the D-S evidence theory.
介绍了一种应用集成神经网络信息融合技术的油种鉴别系统。
The oil identification system about integrated neural network information fusion is set up and studied.
本文通过集成多个传感器的信息，建立了一个基于神经网络的刀具状态监测的智能系统。
This paper establishes an intelligent system based on Unsupervised neural network for monitoring the state of cutting tool by integrating information from a variety of sensors.
本文通过集成多个传感器的信息，建立了一个基于神经网络的刀具状态监测的智能系统。
This paper establishes an intelligent system based on Unsupervised neural network for monitoring the state of cutting tool by integrating information from a variety of sensors.
应用推荐