多元回归预测 | Matlab 基于卷积神经网络-门控循环单元(CNN-GRU)的数据回归预测

classdef MoonMap    % MoonMap Summary:    %   I wanted to make something like a DICOM file that gave me more    %   freedom to do what I want with the metadata. Plus it needs to store    %   two images, one error and one quantitative.    %   This is a class designed for Moonshine Image Analysis to save and    %   load quantitative maps. Maps include metadata and two maps, one for    %   the quantitative variable and the other for the error in    %   computation of that map. Error and Quantitative maps can be of    %   different types and posess different qualities to be outlined in    %   the metadata below:    %   Example:    %     fakeMap = randi([0 10],100,100);    %     fakeErr = randi([0 10],100,100);    %     fakeMM = MoonMap(fakeMap, fakeErr, "rand", "rand", "rand")    properties        Map % the quantitative map        Error % the error map, note that if there is no error map, it can be a zeros matrix        Metadata % MM header file, similar to dicom but with freedom    end    methods        function obj = MoonMap(qmap, emap, mtype, etype, atype, mdata, filename)            % user only needs to specify the 5 variables listed            obj.Map = qmap;            obj.Error = emap;            if(~exist('filename', 'var'))                filename = 'unknown';            end            obj.Metadata = struct('Filename', filename, ...                'MapType', mtype, ...                'ErrorType', etype, ...                'AnatomicalType', atype);            % other variables can be appended here. I'm not lame like DICOM            % where I have to specify every var to be used...            if(exist('mdata', 'var'))                fnames = fieldnames(mdata);                for i = 1:length(fnames)                    obj.Metadata.(fnames{i}) = mdata.(fnames{i});                end            end        end        % basic write function like for dicomwrite        function MMwrite(MoonMapIn, FilePath)            d = dir(fullfile(FilePath, "MoonMap*"));            MM = MoonMapIn;            filestring = fullfile(FilePath, ...                strcat("MoonMap_", ...                string(datetime('now', "Format", "dd-MMM-yyyy_HHmmss")), ...                ".mat"));            MM.Metadata.Filename = filestring;                        save(filestring, "MM")            if(~isempty(d))                for i = 1:length(d)                    delete(fullfile(d(i).folder, d(i).name))                end            end        end        % Now need to be able to convert to dicom image        % Only works one at a time, takes advantage of dicomwrite to save a        % tmp file then load the dicom image and info into the proper        % structures        function [dcmImg, dcmInfo] = mm2dcm(MoonMapIn)            FileName = fullfile(getenv('LOCALAPPDATA'), "tmp.dcm");            if(~contains(class(MoonMapIn.Map), 'uint'))                MoonMapIn.Map = uint16(MoonMapIn.Map + min(MoonMapIn.Map, [], 'all'));            end            dicomwrite(MoonMapIn.Map, FileName)                        dcmInfo = dicominfo(FileName);            dcmImg = dicomread(dcmInfo);                        dcmInfo.ImageComments = "MoonMap2DICOM, " + ...             "MapType:" + MoonMapIn.Metadata.MapType + ...            ", AnatomicalType:" + MoonMapIn.Metadata.AnatomicalType;            delete(FileName)        end        function outputMoonMap = appendMMdata(inputMoonMap, dataStruct)            fnames = fieldnames(dataStruct);            for i = 1:length(fnames)                inputMoonMap.Metadata.(fnames{i}) = dataStruct.(fnames{i});            end            outputMoonMap = inputMoonMap;        end    endend