Paper Title

Designing of an AI system for predicting the successful recovery of SpaceX’s Falcon 9 launch vehicle

Authors

Sandesh Yadav , Yash Manmode , Mansi Patil

Keywords

Launch Recovery System, AI, SpaceX, Falcon 9

Abstract

This paper demonstrates the usage of various ML algorithms including neural network (AI) for the Falcon 9 Launch Vehicle’s first-stage Recovery Prediction System. We predicted the success of the Falcon 9 first-stage landing. On its website, SpaceX promotes Falcon 9 rocket launches for 62 million dollars; other suppliers charge upwards of 165 million dollars for each launch. A large portion of the savings is due to SpaceX's ability to reuse the first stage. So, if we can determine whether the first stage will land, we can determine how much a launch will cost. If a different business wants to compete with SpaceX for a rocket launch, it may use the information provided here. SpaceX's overarching objective is to make Falcon 9's first stage reusable by returning it to the landing zone following separation. The accuracy of Falcon 9 launch vehicle recovery is predicted using a variety of AI models, including Logistic Regression, SVM, Decision Tree, Random Forest, KNN, and ANN.

How To Cite

"Designing of an AI system for predicting the successful recovery of SpaceX’s Falcon 9 launch vehicle", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.11, Issue 1, page no.61-66, January 2023, Available :https://rjwave.org/IJEDR/papers/IJEDR2301008.pdf

Issue

Volume 11 Issue 1, February-2023

Pages : 61-66

Other Publication Details

Paper Reg. ID: IJEDR_230046

Published Paper Id: IJEDR2301008

Research Area: Engineering

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://rjwave.org/IJEDR/papers/IJEDR2301008

Published Paper URL: https://rjwave.org/IJEDR/viewpaperforall?paper=IJEDR2301008

About Publisher

ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJEDR (IJ Publication) Janvi Wave

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