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971.
Zhao Pengda Hu Guangdao Li XinzhongFaculty of Mineral Resources China University of Geosciences Wuhan 《中国地质大学学报(英文版)》1995,(2)
The expert system for statistical prediction of mineral deposits on middle and large scales takes the system of scientific exploration theories, criteria and methods proposed by Professor Zhao Pengda as the field expert knowledge. At present the developed system focuses on two aspects: synthetic exploration and quantitative exploration. Among the three basic theories for the prediction of deposits, it highlights the applications of seeking anomaly theory. This system is characteristic in the determination of geological background, the study of geological anomalies and the delineation of geological background, the study of geological anomalies and the delineation of mineralization anomalies. The system combines closely the knowledge base, method base and database ,integrates the input and output information of multi-sources and multi-variables, data , graphs and imagine processing system and inquiring system as a whole . So the system can meet in general all kinds of demands in statistical prediction of m 相似文献
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LI Yitian XIE Jianheng Wuhan University of Hydraulic Electric Engineering Wuhan University of Hydraulic Electric Engineering 《国际泥沙研究》1993,(1)
I. INTRODUCTIONIt is necessary, sometimes, to predict river bed deformahon during the alanning and design stages of a hydraulic project. As the nuvial process is quite complicated, the I --Dmathematical models currently in use can not satisfy the various needs in hydraulic engineering. Particularly in engineering practice, there is a strong desire of knowing the hydraulicconditions and river bed deformation in details. Some two dimensional models as well asqusi--two--dissensional models … 相似文献
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VLADISLAV TOMISIC VLADIMIR SIMEON Laboratory of Physical Chemistry Faculty of Science University of Zagre POB Zagre Croatia 《地理学报(英文版)》1993,(5)
Each eigenvector of the dispersion matrix[X]~T[X]was shown to be a partial predictor of the originaldata matrix [X],the sum of the predictions from the individual principal components being equal to theexpectance of [X].By comparing the distributions of the members of two neighbouring predictedmatrices,[X]_(1...i)and [X](1...i+1)(i.e.the sums of the first i and i+1 individual predictions respectively),it was shown that they should be indistinguishable provided that i is equal to or greater than the effectiverank of [X],and significantly different otherwise.This was confirmed by analysing the visible absorptionspectra of methyl orange and methyl red solutions as well as the Raman spectra of Na_2SO_4 and MgSO_4solutions.On the grounds of these findings,a non-parametric goodness-of-fit test for assessing theeffective rank of[X]was proposed which proved to be comparatively conservative and more robust thanmost currently used tests. 相似文献
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