Open AccessOPTIMIZATION OF THE INPUT DATA VECTOR TO IMPROVE THE NEURAL NETWORK TRAINING FOR OPC
Author(s) -
Georgiy Teplov,
Almira Galeeva,
Aleksey Kuzovkov
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.29003/m2493.mmmsec-2021/137-140
Subject(s) - artificial neural network , computer science , training set , training (meteorology) , support vector machine , artificial intelligence , topology (electrical circuits) , data modeling , data mining , vector map , pattern recognition (psychology) , engineering , geography , database , meteorology , electrical engineering
This work explored the impact of input data structure to improve the neural network training. The impact of two variants of the input data vector on the training accuracy of the network was studied. The first version of the input vector included the intensity of the exposure radiation map. The second version of the input vector included the intensity of the exposure radiation map and IC topology.