• 人工神经网络模式识别中的应用

    Application of artificial neural networks to pattern recognition.

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  • 人工神经网络人工智能一种形式

    Artificial neural network is one forms of artificial intelligence.

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  • 人工神经网络降水变率进行分类

    Classification of rainfall variability by using artificial neural networks.

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  • 用于运行测试不同人工神经网络算法

    Neupy - Running and testing different Artificial Neural Networks algorithms.

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  • 研究人员所谓人工神经网络技术分析数据模式

    The researchers used a technique called artificial neural networks to look for patterns in the data.

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  • 识别预测人工神经网络主要功能

    Recognition and forecasting are two of the basic functions of the ANNs.

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  • 深度学习训练多层人工神经网络方法

    Deep learning refers to the method of training multi-layer artificial neural networks.

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  • 第二部分,主要讨论人工神经网络基本算法

    In section two, we mainly discuss the basic algorithm of ANN.

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  • 模式识别成为人工神经网络特别适宜求解一类问题

    Artificial neural network pattern recognition has become especially suitable for solving a class of problem.

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  • 人工神经网络预测系统可以空调负荷进行有效预测

    Neural network can applied to predict the load prediction of air conditioning system.

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  • 多元统计人工神经网络得到新西兰气候变化信息

    New Zealand climate change information derived by multivariate statistical and artificial neural networks approaches.

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  • 结论BP人工神经网络可以用于疾病发病率死亡率预测

    Conclusion BP artificial neural network can be used to forecast for disease incidence or mortality.

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  • 本文较为详细的介绍灰色预测技术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.

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  • 事物分类中,人工神经网络认为一种客观实用方法

    Artificial neural network was taken for a objective and practical method in matter classification.

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  • 谭宗琨。BP人工神经网络玉米智能农业专家系统中的应用

    Application of the BP artificial neural network to the corn intelligent agriculture expert system.

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  • 反向传播人工神经网络正常脂肪肝识别率为100%。

    The accuracy rate of neural network was 100% both for normal liver and fatty liver.

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  • 人工神经网络广泛应用于气体传感器阵列模式识别研究中。

    ANN has been widely used for the pattern recognition of the gas sensor array.

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  • 人工神经网络信息处理领域重要方法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.

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  • 介绍前向人工神经网络模型,并与传统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.

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  • 作者采用人工神经网络实现光学电流互感器线性双折射效应补偿

    The authors realize the compensation of optical current transducer's linear birefringent effect by using artificial neural networks.

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  • 实验证明基于传感器人工神经网络焊接质量检测系统有效的。

    The experiments show that the welding quality prediction system based on more sensors and ANN is efficacious.

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  • 针对铝合金电阻点焊研究人工神经网络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.

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  • 本文介绍了一种基于人工神经网络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.

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  • 本文研究了微波探测系统中,利用人工神经网络分析插值快速方法

    A fast method for spectrum analysis and interpolation using artificial neural network (NN) for the microwaves surveying system is studied.

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  • 提出利用物质的荧光光谱联合人工神经网络识别大气杂质气体成分方法

    A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed.

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  • 网络类似人工神经网络新型网络模型,是泛函方程网络表达形式。

    Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.

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  • 通过指数人工神经网络方法联合应用相互比较得到科学准确风险评价结果

    Through the union application of the index method and artificial neural network method, relatively received science, accurate result of appraisal of risk each other.

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  • 人工神经网络方法引入中医研究领域符合中医证候体系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.

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  • 人工神经网络方法引入中医研究领域符合中医证候体系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.

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