Modelling real estate price trend prediction using recurrent neural network: a case of Dar es salaam city real estate in Tanzania

By:

Material type: Text

TextPublication details: Dar es salaam University of Dar es salaam 2022Description: xiii,61p.; ill.; 30cmSubject(s):

LOC classification:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Theses & Dissertation	Dr. Wilbert Chagula Library East Africana Collection	East Africana Collection	THS EAF QA76.86T34N936 (Browse shelf(Opens below))	1	Not for loan		000000711956
Theses & Dissertation	Dr. Wilbert Chagula Library East Africana Collection	East Africana Collection	THS EAF QA76.86T34N936 (Browse shelf(Opens below))	2	Not for loan		000000711957

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	Next
Previous	THS EAF QA76.9A25T34K553 Developing guidelines for improving information security risk management practices in higher education education institutions; a case of selected universities in Tanzania	THS EAF QA76.76.G46Y6 Microcomputer-based real-time two-phase excitation system for a variable-speed dual-excited synchronous generator	THS EAF QA76.76S95B836 Development of object oriented instructional design enabled agile model for guiding development of learning software	THS EAF QA76.86T34N936 Modelling real estate price trend prediction using recurrent neural network: a case of Dar es salaam city real estate in Tanzania	THS EAF QA76.86T34N936 Modelling real estate price trend prediction using recurrent neural network: a case of Dar es salaam city real estate in Tanzania	THS EAF QA76.87T34S557 A model for enhancing long-term prediction of distribution power transformer load using artificial neural networks	THS EAF QA76.88.B358 2021 Efficient load balancing algorithm in lteheterogeneous network based on dynamic cell range expansion bias	Next

Includes: Bibliographical references,
Thesis: MSc (Computer science)-University of Dar es salaam.

There are no comments on this title.

to post a comment.