💥1 概述
SCN（System Change Number 简称 SCN）是当Oracle数据库更新后，由DBMS自动维护去累积递增的一个数字。在Oracle中，有四种SCN，分别为：系统检查点SCN、数据文件检查点SCN、启动SCN、终止SCN。
📚2 运行结果
🎉3 参考文献
[1]王鑫,吴际,刘超,杨海燕,杜艳丽,牛文生.基于LSTM循环神经网络的故障时间序列预测[J].北京航空航天大学学报,2018,44(04):772-784.DOI:10.13700/j.bh.1001-5965.2017.0285.
👨💻4 Matlab代码
主函数部分代码：
% Demo Data regression of SCN clear; clc; close all; format long; tic; %% Prepare the training (X, T) and test data (X2, T2) % X: each row vector represents one sample input. % T: each row vector represents one sample target. % same to the X2 and T2. % Note: Data preprocessing (normalization) should be done before running the program. filename = 'newdatajune10-1-2.csv'; Originaldata1 = csvread(filename,0,0,[0,0,4318,3]); X = Originaldata1(1:2880,:); X2 = Originaldata1(2880:4319,:); Originaldata2 = csvread(filename,0,4,[0,4,4318,4]); T = Originaldata2(1:2880); T2 = Originaldata2(2880:4319); %% Parameter Setting L_max =250; % maximum hidden node number tol = 0.0001; % training tolerance T_max = 100; % maximun candidate nodes number Lambdas = [0.5, 1, 5, 10, ... 30, 50, 100, 150, 200, 250];% scope sequence r = [ 0.9, 0.99, 0.999, ... 0.9999, 0.99999, 0.999999]; % 1-r contraction sequence nB = 1; % batch size %% Model Initialization M = SCN(L_max, T_max, tol, Lambdas, r , nB); disp(M); %% Model Training % M is the trained model % per contains the training error with respect to the increasing L [M, per] = M.Regression(X, T); disp(M);
