Price prediction with bidirectional long short-term memory algorithm for high value commercial crops/ (Record no. 282)

MARC details
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fixed length control field 01497nam a22001697a 4500
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250321110021.0
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fixed length control field 250321b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency NVSU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Segundo, Carlita G.
245 ## - TITLE STATEMENT
Title Price prediction with bidirectional long short-term memory algorithm for high value commercial crops/
Statement of responsibility, etc. Carlita G. Segundo
300 ## - PHYSICAL DESCRIPTION
Extent xi, 64 leaves :
Other physical details colored illustrations ;
Dimensions 28 cm.
500 ## - GENERAL NOTE
General note This paper modeled and predicted the price of High Value Commercial Crop using Bidirectional LSTM algorithm. Price of tomato and squash datasets plus software and hardware requirements were utilized in its development and Root Mean Squared Error, and loss computation was performed as assessment method. Gaining low Root Mean Squared Error and losses indicate accurate prediction capability of the system.<br/><br/>The computed RMSE were 2.07 and 2.04 for tomato and squash respectively.<br/><br/>Losses that started from 0.0553 and 0.0570 for training and test dataset respectively which both finish at 0.0128 for tomato; losses for squash started from 0.0172 and 0.0176 for training and test dataset respectively and finish at 0.0019 for training dataset and 0.0020 for test dataset. Price prediction capability of the system is useful to farmers, farm investors and government agencies as it guides them in decision making.<br/><br/>
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General note Thesis (Master of Information Technology)
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes appendices and bibliographical references.
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    Dewey Decimal Classification     Nueva Vizcaya State University - Bayombong Campus Nueva Vizcaya State University - Bayombong Campus Graduate School Section 03/21/2025 Donation   T Se456p 2022 T991 03/21/2025 03/21/2025 Thesis

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