| 用神经网络滚动模型预测天然气的生产能力 |
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| 引用本文： | 杨维宁,张高信.用神经网络滚动模型预测天然气的生产能力[J].大自然探索,1994,13(4):40-47. |
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| 作者姓名： | 杨维宁 张高信 |
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| 作者单位： | 成都理工学院,四川石油局川东开发公司 |
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| 摘 要： |
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| 关 键 词： | 数值模拟 预测 天然气 滚动神经网络 生产能力 |
THE PREDICTION OF PRODU CTIVE CAPACITY OP NATURAL GAS USING THE ROLLING MODEL OF NEURAL NETWORK |
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| Yang Weining, Wang Hong,He Baokai,Kuang Jianchao,Chang Caoxin Huaming,Chen Sufang.THE PREDICTION OF PRODU CTIVE CAPACITY OP NATURAL GAS USING THE ROLLING MODEL OF NEURAL NETWORK[J].Discovery of Nature,1994,13(4):40-47. |
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| Authors: | Yang Weining Wang Hong He Baokai Kuang Jianchao Chang Caoxin Huaming Chen Sufang |
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| Institution: | Yang Weining; Wang Hong;He Baokai;Kuang Jianchao;Chang Caoxin Huaming;Chen Sufang |
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| Abstract: | This paper introduces the rolling model of neural network and the concept of ordered derivatives' Theimplementation of this network is discussed in this paper' We put forward the prediction of productive capacity of natural sas using iterative rolling BP network and build up the mathematic model of productive Capacityin stead period and decreasing period "sinS the iterratiye rolling BP network.Through verified,the model canget the result as exsactly as numerical simulation.This model overcomes the rudeness of traditional prediction' the productive capacity of natural sas and can predict more exactly the productive capacity of natural gas'traditional prediction |
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| Keywords: | Rolling BP Network Ordered Deriwtives Capality Capality Nunericl Simulation Prediction |
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