To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
The simulation result shows that the algorithm has much faster learning speed compared with the standard BP algorithm. It is entirely practicable in diesel fault diagnosis system.
仿真结果表明，该算法比标准BP算法具有更快的学习速度，完全适用于柴油机故障诊断系统。
Conclusion: Improving the ability of diagnosis of abdomen surgical disease was above all learning task for young surgical doctor on basic hospital.
结论尽快提高对腹部外科诊断能力，是年青外科医生(尤其是广大基层医院)最重要最迫切的学习任务。
Conclusions: Improving the ability of diagnosis of abdomen surgical disease was above all learning task for young surgical doctor on basic hospital.
结论尽快提高对腹部外科诊断能力，是年青外科医生(尤其是广大基层医院)最重要最迫切的学习任务。
There has been recent interest in the application of machine learning techniques to neuroimaging-based diagnosis.
最近比较热门的研究室在神经影像诊断中引入计算机智能技术。
Ask Learning Centre staff if you can do a short writing test for a 'diagnosis' of your writing.
问学习中心的工作人员，是否能为你的文章做一个简短的“诊断”测试。
I seek effective plans by the analysises of the diagnosis to the physical learning disability of vocational middle school students.
根据诊断结果对职中生物理学业不良进行成因分析，探索有效的应对方略。
The result shows that RBF networks has very high learning convergence speed and better classifying performance. RBF networks has good practicality in the field of equipment fault diagnosis.
应用结果表明，RBF网络训练速度快、分类性能良好，在设备故障诊断领域具有很好的实用性。
The quick diagnosis means quick learning and classification.
快速诊断要求快速学习和快速分类。
This article aims to propose a diagnosis and evaluating models of online learning.
本文旨在提出一个诊断和评测网上学习效果的模型。
A diagnosis method on abrupt faults of nonlinear system in learning approach is provided by a detector which is designed to detect, identify and diagnose the faults in the dynamic nonlinear system.
针对一类非线性系统给出一种基于学习方法的突变故障诊断方法，设计了一个观测器，以此来检测、辨识和诊断一类非线性系统动态系统的故障。
The system features high efficiency learning and proper fault diagnosis and has been used successfully in fault diagnostic of electrical machinery of railway locomotives.
该系统学习效率高，故障诊断准确，已成功应用于铁路机车走行部的轮对电机在线故障诊断。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
Furthermore, the experiment using the learning algorithm to model a servo-mechanism and to construct the fault diagnosis system based on the model is carried out, the results is very good.
用这种学习算法建立某伺服机构的模型，并构造基于模型的故障诊断系统，通过实验取得了较好的结果。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
The system realized diagnosis , knowledge acquisition, maintain management and learning assistant by friendly interface, which satisfied maintain personnel in different level.
本系统通过界面友好的人机交互实现故障诊断、知识获取、维修管理，辅助学习，符合各层次诊断维修人员的需求。
However, support vector machine (SVM) can better solve problem of small-sample learning and provides the foundation for solving intelligent diagnosis problems.
而支持向量机能够较好地解决小样本学习问题，为解决智能诊断的这一问题提供了基础。
Based on statistical learning theory (SLT), the relevant problems of solving the machinery intelligent diagnosis and condition prediction are thoroughly researched in this project by means of SVM.
本项目以统计学习理论为基础，深入研究了应用支持向量机方法解决机械智能诊断和状态预测的相关问题。
The system can implement fault diagnosis as well as self-learning.
本系统不但具有故障诊断的能力，还具备较强的自学习的功能。
The method which has definite physical meaning, can change fault diagnosis model to adapt to the variability and uncertainty of the plant by learning the fault diagnosis err.
该方法物理意义明确，可以通过对故障诊断误差的学习，实时修正故障模型，实现对不确定性和慢时变性对象的鲁棒故障诊断。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
Neither she nor her husband had accepted Mehta's diagnosis that behind her son's falling grades and temper 7 tantrums lay a learning disability and severe 8 depression.
之前，无论是她还是她丈夫都无法接受梅塔的诊断结果——他们的儿子之所以成绩下降，暴躁易怒，是因为患上了严重的抑郁症和有学习障碍。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.
小波神经网络，实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。
Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点，设计了基于神经网络的作物营养诊断专家系统。
They study diagnosis, child and adolescent development, learning theory, testing, ethics, and more.
他们学习诊断法，儿童及青少年的成长，学习理论，测试，道德等。
In order to improve the diagnosis accuracy, machine learning method was proposed to construct the breast cancer diagnosis model.
为了提高胸癌诊断的识别精度，提出了应用机器学习方法建立胸癌诊断模型。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
Spectrum analysis diagnosis system (SADS) is composed of user interface, data management, KBM, reasoning facility, self-learning adjusting, remote fault diagnosis and system output modules etc.
油液光谱分析诊断系统(SADS)由人机交互、数据管理、知识库管理、推理机、自学习调整、远程故障诊断和系统输出等模块组成。
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