Quantitative Researcher Of Nonlinear Mineral Resources Predictive Model

In mineral resources precise prediction, Stability and applicability of quantitativelypredict model influence on the prediction quality of the model. Mineral resourcequantitative model is Linear and nonlinear model to express support of the geologicalspace variables. Stability and applicability of the model depends on the functionalmeasure of geological variables. As the collection of geological variables in therelationship between the expression when resource links, the collection of geologicalvariables and resource cut-off grade changes have interactivity. So variable weightalso has interactivity. This requires discussion of variable weight model in thevariable groups associated with conditions variable; Because of the geologicalvariables vector come from the geological space objects. Therefore, geologic bodyspatial distribution and variability directly affect correlation、structural and singularityof geological variables. This requires to discuss that digital feature of geologicalvectors. On the other hand，Because of the geological data which form geologicalvariables there is a lot of noise. Geological showing weak signal status in some cases.Requirements progress data filtering and signal amplification processing beforemodeling. This article will explore these issues one by one to start，which trying toestablish a series of innovative quantitative calculation model. Details are as follows：1. Geological Variable Weight ModelGeological variable weight coefficients are the important content of constructinggeological model and generally traditional variable weight coefficient is the constantcoefficient. Constant weight has some limitations due to structuredness anddependency of variable. For overcoming the inflexibility of constant weight, thispaper proposes geological variable mathematics model basedd state variable vector.We revise existing form of state variable weight and provide logarithm state variablevector as measurement level of geological variable weight coefficients. According to1:200000geochemistry measured data from Baishan area, we calculate the samples unit connection degree based on exponent and logarithm state variable vector andcompare the connection degree based on constant weight. The connection degreesorting has the similarity as a whole among them, but there is the obvious differencelocally. We can conclude that geological variable weight function based on statevariable vector is more flexible and fine.2. Digital Spectral Analysis Method of Geological SpaceGeological space is the upper crust substance level which is hybrid stack ofvarious kinds of geological entity in an inset way, there are different phase belts in thesame geologic body. Research of numerical characters about geological entity isalways one of the most three hot and difficult problems in mathematical earth sciencedomain. Numerical characters of geological entity are a measure of revealingsuccession characteristic of geological space, and it is also the key content ofgeological space distribution and variability. The existence of any geologic body isthe stage product of the crust evolution, and its numerical characters are a statedescription of temporal-spatial under observation scale. This paper presents a kind ofdigital spectral analysis based on geologic body numerical characters. It aims toexpress abstractly autocorrelation and cross-correlation of all kinds of geologic bodyby spectral model, the basic parameters and theory of digital spectrum are proofed,and raw information coding method and application principle are provided. Thistheoretical method can be directly applied to quantization classification and namingof geologic body, mineral prediction, and geological disaster warning.3. The theory of wavelet analysis of mineral resources reserveDue to the geological data has exist superposition on the spatial distribution.Forming a large noise on the data structure which conceal the true digital features ofgeological object. Thus it is difficult to identify the geological model. For filter outthe noise of the impact of geological，base on spatial distribution and variability ofdata to progress effective filtering and weak signals amplifying. So this paper usingwavelet theory to establish geochemical data sets divergent weak signal filtering andamplification model. Based on discrete wavelet transform and maximum overlapdiscrete wavelet transform， to BaiShan region geochemical element data to executemulti-resolution analysis. At different scale（high and low），to analysis for eachchemical element content trend and find outliers. At the same time based on the principle of wavelet variance. Analysis of the content of the volatility of each elementin different frequencies.To sum up this innovation can be summarized as follows:（1）Given state variable weights vector mathematical model of geological variablesempowerment.（2）Given base on collection of geological variables and taste parameters ofResource estimation model with multiple integrals converge.（3）apply wavelet theory gives geochemical combination divergent of filteringmethods...