MARC details
| 000 -LEADER |
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| fixed length control field |
02448nab a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250506065540.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250505t2021 |||||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
2319-7064 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
JMCFI - Learning Resource Center |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Gorres-Abato, Teotima Evangelista |
| 9 (RLIN) |
31554 |
| 245 ## - TITLE STATEMENT |
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| Title |
Symbolic regression with genetic programming in forecasting population growth of the Philippines / |
| Statement of responsibility, etc. |
Teotima Evangelista Gorres-Abato. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
s.l. : |
| Name of publisher, distributor, etc. |
Elsevier., Inc. |
| Date of publication, distribution, etc. |
2021. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Abstract : Human population is chaotic (complex) and the people in both systems are equally complex (dynamical system). Thus, the theory of dynamical system best explains the growth of human population. Symbolic regression (SR) with genetic programming (GP) is a model which uses the ideas of biological evolution to handle a complex problem in a dynamical system. Many prediction techniques were introduced and used by different researcher especially in the prediction of population. The Philippine Statistics Authority (PSA) used cohort model in predicting the population of the Philippines and uses birth rate and death rate in the national projection. This paper predicts the population of the Philippines using symbolic regression via genetic programming (GP) model and uses five demographic characteristics namely; birth rate, death rate, family planning methods adapted, life expectancy and fertility rate. For generating such model Eureqa software was used. The predicted value of population using the proposed population model was compared to the forecasted value from World Bank and PSA for the year 2010-2020.It was verified in the year 2015 when the PSA conducted the national census, and it was found out that the prediction value was much closer to the census result of 100,981,437 people. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Symbolic regression. |
| 9 (RLIN) |
31558 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Genetic programming. |
| 9 (RLIN) |
31559 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Dynamical system. |
| 9 (RLIN) |
31560 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Biological evolution. |
| 9 (RLIN) |
31561 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Complex system. |
| 9 (RLIN) |
31562 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Population forecasting |
| Geographic subdivision |
Philippines. |
| 9 (RLIN) |
31563 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Population. |
| 9 (RLIN) |
22928 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Research. |
| 9 (RLIN) |
146 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Quantitative research. |
| 9 (RLIN) |
1581 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Journal articles (Open access). |
| 9 (RLIN) |
11480 |
| 773 ## - HOST ITEM ENTRY |
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| Related parts |
, volume 10, issue 5 (May 2021). |
| Title |
International Journal of Science and Research (IJSR) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3869622">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3869622</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Open Access Electronic Resources |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Library of Congress Classification |