人工神经网络在模式识别中的应用。
Application of artificial neural networks to pattern recognition.
人工神经网络是人工智能的一种形式。
Artificial neural network is one forms of artificial intelligence.
用人工神经网络法对降水变率进行分类。
Classification of rainfall variability by using artificial neural networks.
用于运行和测试不同的人工神经网络算法。
Neupy - Running and testing different Artificial Neural Networks algorithms.
研究人员用所谓的人工神经网络的技术分析数据的模式。
The researchers used a technique called artificial neural networks to look for patterns in the data.
识别和预测是人工神经网络的两大主要功能。
Recognition and forecasting are two of the basic functions of the ANNs.
深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
模式识别成为人工神经网络特别适宜求解的一类问题。
Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
人工神经网络预测系统可以对空调负荷进行有效的预测。
Neural network can applied to predict the load prediction of air conditioning system.
用多元统计和人工神经网络法得到的新西兰气候变化信息。
New Zealand climate change information derived by multivariate statistical and artificial neural networks approaches.
结论BP人工神经网络可以用于疾病发病率或死亡率的预测。
Conclusion BP artificial neural network can be used to forecast for disease incidence or mortality.
本文较为详细的介绍了灰色预测技术和人工神经网络预测技术。
This article introduces the grey forecast technology and the artificial neural network forecast technology in detail.
在事物分类中，人工神经网络被认为是一种客观而实用的方法。
Artificial neural network was taken for a objective and practical method in matter classification.
反向传播人工神经网络对正常肝和脂肪肝的识别率均为100%。
The accuracy rate of neural network was 100% both for normal liver and fatty liver.
人工神经网络已被广泛应用于气体传感器阵列的模式识别研究中。
ANN has been widely used for the pattern recognition of the gas sensor array.
人工神经网络是信息处理领域的重要方法，有十分广泛的应用前景。
Artificial neural networks are an important method of information processing field, and have a wide application range.
介绍前向人工神经网络模型，并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
作者采用人工神经网络来实现光学电流互感器线性双折射效应的补偿。
The authors realize the compensation of optical current transducer's linear birefringent effect by using artificial neural networks.
实验证明基于多传感器和人工神经网络的焊接质量检测系统是有效的。
The experiments show that the welding quality prediction system based on more sensors and ANN is efficacious.
针对铝合金的电阻点焊，研究了人工神经网络在点焊质量估测中的应用。
This paper discussed the application of artificial neural network at the resistance spot welding of aluminum alloy.
本文介绍了一种基于人工神经网络的同步电机转子短路故障的在线诊断方法。
This paper presented the establishment method of the Operating Logic Function for the electric equipment of substation.
本文研究了在微波探测系统中，利用人工神经网络做谱分析和插值的快速方法。
A fast method for spectrum analysis and interpolation using artificial neural network (NN) for the microwaves surveying system is studied.
提出利用物质的荧光光谱联合人工神经网络识别大气中杂质气体成分的新方法。
A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed.
泛函网络是类似于人工神经网络的新型网络模型，是泛函方程的网络表达形式。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
通过指数法和人工神经网络方法的联合应用，相互比较得到科学、准确的风险评价结果。
Through the union application of the index method and artificial neural network method, relatively received science, accurate result of appraisal of risk each other.
将人工神经网络方法引入中医证候研究领域符合中医证候体系的内涵要求，具有可行性。
The introduction of Artificial neural network to TCM Syndrome research consistents with the TCM Syndrome connotation system requirements, and is feasible.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
基于均匀设计、差分法和模糊人工神经网络建立了新的隧道围岩物理力学参数反分析方法。
The new back analysis method of physics and mechanics parameters of surrounding rock was established by uniform design, calculus of differences and fuzzy artificial neural networks in this paper.
基于均匀设计、差分法和模糊人工神经网络建立了新的隧道围岩物理力学参数反分析方法。
The new back analysis method of physics and mechanics parameters of surrounding rock was established by uniform design, calculus of differences and fuzzy artificial neural networks in this paper.
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