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| 1 | Application of GIS in Mineral Resource Prediction of Synthetic Information显示文摘This paper introduces the formation mechanism and synthetic information prediction of large and superlarge deposits in Shandong Province by analyzing and studying on the GIS platform. The authors established a prospecting model of synthetic information from large and superlarge gold deposit concentration region, and the multi-source spatial database from concentration region of deposits and anomalies. On the basis of the spatial database, a target map layer, a model map layer and a predictive map layer were set up. Based on these map layers, geological variables of the model unit and predictive unit were extracted, then launched location and quantitative prediction of the gold deposit concentration region. The achievement of predicting large and superlarge deposits by the GIS platform has enabled the authors to design automation (or semi-automatic) interpretation subsystems, namely geophysics, geochemistry, geologic prospecting and comprehensive prognosis, and a set of the applicable GIS software for mineral resources prognosis of synthetic information. | Ye Shuisheng Wang Shicheng Li Deqiong Mineral Resources Institute of Comprehensive Information Prediction, Jilin University, Changchun 130026 | 2003 | Journal of China University of Geosciences2003，14，3： | 7 |
| 2 | Theory and Method of Mineral Resource Prediction Based on Synthetic Information显示文摘Metallogenic prognosis of synthetic information uses the geological body and the mineral resource body as a statistical unit to interpret synthetically the information of geology, geophysics, geochemistry and remote sensing from the evolution of geology and puts all the information into one entire system by drawing up digitalized interpretation maps of the synthetic information. On such basis, different grades and types of mineral resource prospecting models and predictive models of synthetic information can be established. Hence, a new integrated prediction system will be formed of metallogenic prognosis (qualitative prediction), mineral resources statistic prediction (determining targets) and mineral resources prediction (determining resources amount). | Wang Shicheng Ye Shuisheng Zhou Dongdai Mineral Resources Institute of Comprehensive Information Prediction, Jilin University, Changchun 130026 | 2003 | Journal of China University of Geosciences2003，14，3： | 2 |
| 3 | A new iterative algorithm training SVM显示文摘 | Zhou Shuisheng Liu Hongwei Ye Feng | 2009 | optimization Methods &Software2009，24，6： | 1 |
| 4 | Magnetic properties of nanocrystalline Finemet alloys with Co addition显示文摘 | Yanhong Ding Xuan Liu Shuisheng Zhao Yi Long Rongchang Ye Yongqin Chang | 2006 | Journal of Alloys and Compounds2006，，1： | 1 |
| 5 | Application of fixed- point DSP and 16-bit parallel output A/D and dual-port RAM 显示文摘 | ZHOU Rigui HU Jingchun YE Shuisheng | 2003 | Inter- national Symposium on Test and Measurement2003，，1： | 1 |
| 6 | Synthetic information prediction system for crisis mine based on GIS显示文摘Reserves of some kinds of the crisis mines will be lack now or from now on, because of lacking seriously reserves of mineral resources and the crisis of exploring bases in support. So that it is urgent to predict, appraise, development and utilize the replaceable resources of the crisis mines. The mineral resources prediction software system of synthetic information is intelligent GIS which is used to quantitative prediction of large-scale synthetic information mineral target. It takes the geological body and the mineral resource body as a unit. And it analyzes the ore deposit genesis and metallotect, knows the spatial distribution laws of the ore deposit and ore body, and establish the prospecting model based on the concept of establishing the three-dimensional space of a mine. This paper will primarily discuss some important problems as follows: the secondary development of various kinds of data(including geology, geophysical prospecting, geochemical prospecting and remote sensing, etc); process synthetically and establish the synthetic information interpretative map base; correspond prospecting model with synthetic information of ore deposit; divided into statistical units of metallogenic information synthetic anomalies based on the synthetic information anomalies of ore control, then research the metallogenic information variable of unit synthetically and make quantitative prediction according to choose the quantitative prediction math model which is suitable to the demands of large-scale precision; at last, finish the target area optimization of ore deposit (body). | Yuxin Ye Ping Yu Shi Wang Shuisheng Ye | 2006 | Global Geology2006，9，1： | 1 |
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