TY - JOUR AU - H. Krishna PY - 2009/11/01 Y2 - 2024/03/28 TI - Highly Accurate Multi-layer Perceptron Neural Network for Air Data System JF - Defence Science Journal JA - DSJ VL - 59 IS - 6 SE - Short Communication DO - 10.14429/dsj.59.1574 UR - https://publications.drdo.gov.in/ojs/index.php/dsj/article/view/1574 AB - The error backpropagation multi-layer perceptron algorithm is revisited. This algorithm is used to train and validate two models of three-layer neural networks that can be used to calibrate a 5-hole pressure probe. This paper addresses Occam's Razor problem as it describes the adhoc training methodology applied to improve accuracy and sensitivity. The trained outputs from 5-4-3 feed-forward network architecture with jump connection are comparable to second decimal digit (~0.05) accuracy, hitherto unreported in literature.Defence Science Journal, 2009, 59(6), pp.670-674, DOI:http://dx.doi.org/10.14429/dsj.59.1574 ER -