TY - GEN
T1 - Population projection of the Indian subcontinent using TP-aided WASD neuronet
AU - Zhang, Yunong
AU - Li, Wan
AU - He, Liangyu
AU - Qiu, Junqiao
AU - Tan, Hongzhou
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2016/10/19
Y1 - 2016/10/19
N2 - The population projection of the Indian subcontinent, which is closely related to the future development of this region and even the whole world, has catched great attention among sociologists as well as scientists. However, most of the former researches are just based on fertility, mortality or other individual quantifiable factors by using some traditional statistical models and thus may lack all-sidedness in their results. The historical population data are the comprehensive reflection of population development under the influence of all factors. Based on the historical population data over 2000 years, a feedforward neuronet equipped with the weights-and-structure-determination (WASD) algorithm aided by twice-pruning (TP) technique is constructed. Besides, by introducing the cubic spline and error evaluation methods, the neuronet shows great performance in the population projection. Due to the marvelous learning and generalization abilities of the presented TP-aided WASD neuronet, we successfully draw up the population projection for the Indian subcontinent.
AB - The population projection of the Indian subcontinent, which is closely related to the future development of this region and even the whole world, has catched great attention among sociologists as well as scientists. However, most of the former researches are just based on fertility, mortality or other individual quantifiable factors by using some traditional statistical models and thus may lack all-sidedness in their results. The historical population data are the comprehensive reflection of population development under the influence of all factors. Based on the historical population data over 2000 years, a feedforward neuronet equipped with the weights-and-structure-determination (WASD) algorithm aided by twice-pruning (TP) technique is constructed. Besides, by introducing the cubic spline and error evaluation methods, the neuronet shows great performance in the population projection. Due to the marvelous learning and generalization abilities of the presented TP-aided WASD neuronet, we successfully draw up the population projection for the Indian subcontinent.
KW - cubic spline
KW - population prediction
KW - the Indian subcontinent
KW - twice-pruning (TP) technique
KW - Weights-and-structure-determination (WASD) algorithm
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84997824475&origin=recordpage
U2 - 10.1109/FSKD.2016.7603145
DO - 10.1109/FSKD.2016.7603145
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781509040933
T3 - 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
SP - 23
EP - 28
BT - 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
PB - IEEE
T2 - 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
Y2 - 13 August 2016 through 15 August 2016
ER -