APPLICATION OF ARTIFICIAL NEURAL NETWORK (ANN) FOR INFLOW DISCHARGE PREDICTION AND AGRICULTURAL LAND OPTIMIZATION USING LINEAR PROGRAMMING TO SUPPORT SERMO RESERVOIR OPERATIONS
Saved in:
Main Author: | Sufyan Tsaury, Muhammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/82044 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Optimal reservoir operation in Sermo Reservoir for irrigation water utilization
by: , KO, Wai Yan, et al.
Published: (2009) -
CLASSIFICATION OF PARTIAL DISCHARGE (PD) SOURCES IN HIGH VOLTAGE EQUIPMENT USING ARTIFICIAL NEURAL NETWORK (ANN)
by: ROSSAL SUKMA - NIM: 23216049 , TAUFIK -
WATER BREAKTHROUGH TIME DETERMINATION OF BOTTOM WATER AQUIFER RESERVOIR USING ARTIFICIAL NEURAL NETWORK (ANN)
by: Higuita Pinem, Riantana -
STUDY OF THE IMPACT OF LAND USE CHANGES IN DARMA RESERVOIR CATCHMENT AREA ON DARMA RESERVOIR SEDIMENT INFLOW
by: Raharsiwi, Chyntia -
CUSTOMER CHURN PREDICTION IN THE BANKING INDUSTRY USING GENERALIZED LINEAR MODEL (GLM) AND ARTIFICIAL NEURAL NETWORKS (ANN)
by: Amanda, Della