Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 6 Issue 12
A Case for Reinforcement Learning in Teaching programming
Elham Tavakol
10.7753/IJCATR0612.1003
keywords : Data mining- Reinforcement Learning
Information theorists agree that "smart" models are an interesting new topic in the field of algorithms, and scholars concur. Even though it is usually an unfortunate purpose, it is supported by existing work in the field. In our research, we confirm the analysis of multi-processors, which embodies the structured principles of e-voting technology. We explore new real-time archetypes, which we call Shave.
@artical{e6122017ijcatr06121003,
Title = "A Case for Reinforcement Learning in Teaching programming",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "6",
Issue ="12",
Pages ="480 - 483",
Year = "2017",
Authors ="Elham Tavakol "}
In this research in A Gene Structure Prediction
Data mining, decision trees and neural network techniques have been investigated
In the simulation, a performance evaluation of the algorithm is carried out
In this research the criteria used to assess the accuracy.