Draconius等高手，请进！帮助翻译一段文字。
本文主要研究了在信息融合的模型框架下，整合BP神经网络技术、风险资产组合理论等多种技术，对股票时序数据进行自动、快速、科学地处理，做出可靠、准确的态势评估从而完成预测决策的方法。 本文为了实现基于BP时间融合的预测模型，对BP神经网络的缺陷作了深入研究，提出了引入学习阶段评价和病态神经元检查校正方法的PEBP(phase evaluated BP)模型，克服了在实际应用BP神经网络的性能障碍，并通过大量的改进实验加以验证PEBP性能。 本文对时间序列预测中产生问题进行了分析，指出在股票价格预测中一般时间序列模型操作性差的问题，结合信息融合的思想，提出了新的时间序列模型和波幅/频率时间序列预测方法，并设计了相应的时间序列数据预处理的切片和样本重构的方法。该方法克服了一般时间序列模型用于股票预测时操作性差的问题，且保证了融合模型的抗干扰能力。 此外本文引入的风险资产组合理论，成为融合模型中态势评估实现的理论基础，使系统具备了遴选股票、进行组合投资的能力，保证了系统的抗风险能力。模拟实验表明基于风险资产组合理论的态势评估，在股票投资决策中降低了投资的风险。
Draconius大师这几天好像不在，我先给你一个版本吧，供你参考 This paper mainly analyzes the methods within the information fusion framework to incorporate various technologies including BP neural network and risk-asset portfolio theory, so that we can achieve automatic, fast and scientific processing for the time-sequence data of stocks and make accurate and realizable situation evaluation to accomplish forecast decision-making。
Aiming to realize a forecast model based on BP time-fusion, this paper makes a thorough study on the flaws of BP neutral network and advances a PEBP (phase evaluated BP) model that incorporates the methods to evaluate learning phases and to detect/correct abnormal neurons。
It can help us to overcome the performance clogs in BP neural network’s real-life applications, as well as to verify the performance of PEBP through a number of improvement experiments。
This paper also analyzes the problems arising from time sequence forecasting and points out the problem of poor operability in a usual time-sequence model during stock-price forecasting。
Incorporating the idea of information fusion, it advances an original time-sequence model and a time-sequence forecasting method for amplitude/frequency, and accordingly designs a slicing and sample-restructuring method for pre-processing time-sequence data, which not only overcomes the problem of poor operability in a usual time-sequence model during stock trend forecasting but also ensures the anti-jamming capability of the incorporated model。
Moreover, the risk-asset portfolio theory brought forward by this paper will become a theoretic base to achieve the situation evaluation within the incorporated model, which enables the system to perform prudent stock selection and investment portfolio decision as well as to ensure its anti-jamming capability。
The simulation experiments demonstrate that the situation evaluation based on risk-asset portfolio has reduced investment risks in stock investment decision-making。
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Thistextmainlystudiedunderthemodelframethatinformationblend,theintegrationBPnervenetworktechnique, varioustechniques,carryingonanautotothestockcycletimedata,fast,sciencegroundprocessing,docredibility,accuratesituationthevaluationcompletesestimatedecisionthusofmethod。
This text for the sake of realization according to the estimate model of the BP time fusion, made a thorough research to the blemish of the BP nerve network, put forward lead to correct the PEBP(the phase evaluated BP) model of the method into the study stage evaluation and the abnormal state nerve dollar check, overcome at physically applied function obstacle of the BP nerve network, and take in to verify PEBP function through a great deal of improvement experiment。
This text predicts to time sequence the medium creation problem carried on analysis, pointing out the problem that general time sequence model operability differs in the stock price estimate, combining the thought of the information fusion, putting forward the new time sequence model and wave/frequency time sequence estimate method, and design to correspond of time the sequence data prepare processing of the method of the slice and sample heavy 构 。
That method overcame operability for the general time sequence model to used for the stock estimate to differ of problem, and promise the anti- interference ability of the fusion model。
In addition this text leads to go into of the risk property combination theories, become the theories foundation that blends the situation in the model valuation realization, make the system have to select a stock and carry on the ability that combines an investment, promise the anti- risk ability of the system。
Imitate the experiment enunciation a combination the situation valuation of the theories according to the risk property, risk lowered an investment in the stock the investment the decision。
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太专业了，太难翻译了！
Thistextmainlystudiedunderthemodelframethatinformationblend,theintegrationBPnervenetworktechnique, varioustechniques,carryingonanautotothestockcycletimedata,fast,sciencegroundprocessing,docredibility,accuratesituationthevaluationcompletesestimatedecisionthusofmethod。
This text for the sake of realization according to the estimate model of the BP time fusion, made a thorough research to the blemish of the BP nerve network, put forward lead to correct the PEBP(the phase evaluated BP) model of the method into the study stage evaluation and the abnormal state nerve dollar check, overcome at physically applied function obstacle of the BP nerve network, and take in to verify PEBP function through a great deal of improvement experiment。
This text predicts to time sequence the medium creation problem carried on analysis, pointing out the problem that general time sequence model operability differs in the stock price estimate, combining the thought of the information fusion, putting forward the new time sequence model and wave/frequency time sequence estimate method, and design to correspond of time the sequence data prepare processing of the method of the slice and sample heavy 构 。
That method overcame operability for the general time sequence model to used for the stock estimate to differ of problem, and promise the anti- interference ability of the fusion model。
In addition this text leads to go into of the risk property combination theories, become the theories foundation that blends the situation in the model valuation realization, make the system have to select a stock and carry on the ability that combines an investment, promise the anti- risk ability of the system。
Imitate the experiment enunciation a combination the situation valuation of the theories according to the risk property, risk lowered an investment in the stock the investment the decision。
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