| 1. | A new method of data processing used in pulse fast thermal neutron analysis technology is introduced
摘要介绍了一种应用于脉冲快热中子分析技术中的新解谱方法。 |
| 2. | To improving the single pattern learning , a new method of whole pattern learning was brought forward in this thesis to get better results of spectrum analysis
针对bp网络单模式学习的不足，提出了一种全模式学习方法，使网络的解谱效果得到改善。 |
| 3. | It was proved as well that as for the results of both spectrum analysis and identification of production places the pretreated one is much better than those without pretreatment
研究还表明经过谱数据预处理后，网络的解谱效果和产地识别效果明显优于未经过谱数据预处理的结果。 |
| 4. | For these tow networks , it has been taken to compare with their learning precious , as well as their outcomes and abilities of spectrum analysis under the condition of different arithmetic and different spectrum data pretreatment
比较了两种网络在不同算法、不同谱数据预处理情况下的学习精度、解谱结果和解谱能力。 |
| 5. | All our experiment works proved that in science and technology archaeology the satisfactory results are gained for the outcome of spectrum analysis and the identification of production places as well as pretreatment methods of spectra data by using the artificial neural network and x fluorescence analysis
本研究表明：引用人工神经网络和x荧光分析进行的科技考古研究中，解谱结果、产地识别结果和谱数据预处理方法都达到了令人满意的效果。 |
| 6. | As we all know , one of the main aim of the spectral theory research is to find out the location of the spectrum , it is just because of the quadratic numerical range gives a better information about the localization of the spectrum than the numerical range and that provoke my interest to study the quadratic numerical range . the aim of this paper is to make a deep investigate in this area , the main content as follows : the first part of this paper pays the emphasis on the quadratic numerical range
我们知道，研究谱理论的一个重要目的就是了解谱的位置特征，通过对比可知，二次数值域较之数值域能够更好地给出所给算子的谱的位置特征，这引起了我们的研究兴趣，本文将着重就二次数值域的相关问题进行较深入地研究，同时我们还提出了一些有待解决的问题，我们认为这些问题是值得大家共同去研究和探讨的。 |
| 7. | At first , measuring the electron recoil spectra of target room gamma ray . through the resolution of spectra we get the gamma ray spectra caused by target room . then we transform it to the zero point , the place of neutron source , and calculate the leakage gamma ray spectra t from iron sphere caused by target room gamma ray by mcnp program
靶室产生的射线本底，通过实验测量和模拟计算相结合的方法加以扣除，首先测量靶室产生的射线康普顿反冲电子谱，解谱得到靶室泄漏谱，将所解得的靶室泄漏谱归一到原点，即中子源处，利用mcnp蒙卡程序输运计算靶室射线穿透铁球后所泄漏的能谱，最后从d ? t中子穿透铁球伴生射线泄漏能谱s中扣除。 |
| 8. | In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element , low content and thick ground , we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works . as the first one , we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples , and taken both results of spectrum analysis to compare with each other . the second , the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples
针对科技考古中对大量考古陶片进行产地研究时x荧光分析对多元素、低含量、厚基底考古陶片产生的复杂谱分析的问题，将人工神经网络引入x荧光考古中，进行了三方面的研究工作：一是用线性olam网络(最优线性联想网络)和非线性bp网络(误差反传导网络)分别对考古样品的x荧光复杂谱进行解谱，并比较二者的解谱效果；二是用bp网络模式识别方法对考古样品的产地进行智能识别；三是为了提高网络运算的可靠性和减小基体效应及电噪声的干扰和影响，研究并提出了三种网络学习前的谱数据预处理方法。 |
| 9. | Based on the platform of windows 98 operation system and visual c + + 6 . 0 programming language , we have developed a series of visual software , including x fluorescence spectrum analysis and identification of production places , which are powerful and have friendly and visual interfaces and functions easily operated
本论文在win98操作系统下，用vc6 . 0作开发平台，编制了一系列x荧光解谱和产地识别可视化软件，界面友好、直观，功能齐全、便于使用，取得的结果令人满意。 |
