Feed forward gradient descent with momentum backpropagation neural network in tower defense targeting system
Ever since the birth of Adobe Flash, tower defense games became more and more popular. In a tower defense game, you'll need to protect your base from incoming waves of enemies by building towers that will attack the enemies whenever it is in its range. There are different ways the tower can sel...
Saved in:
Main Author: | Ramos, John Ernest D. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2013
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/2633 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Perbandingan metode Gradient Descent With Momentum, Scaled Conjugate Gradient, dan Quasi Newton untuk pembelajaran Feed-Forward Neural Network
by: , SAPTI, Mujiyem, et al.
Published: (2007) -
Perbandingan metode Steepest Descent, Konjugat Gradien dan BFGS Quasi-Newton untuk pembelajaran Feed-Forward Neural Network
by: , SUPRAPTO, et al.
Published: (2006) -
STOCHASTIC GRADIENT DESCENT AND ITS EXTENSIONS
by: ZHANG JINGWEI
Published: (2021) -
Byzantine-resilient decentralized stochastic gradient descent
by: GUO, Shangwei, et al.
Published: (2022) -
Byzantine-resilient decentralized stochastic gradient descent
by: Guo, Shangwei, et al.
Published: (2024)