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Learning automata

Learning automata is one type of Machine Learning algorithm studied since 1970s. Compared to other learning scheme, a branch of the theory of… 
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Related topics

Related topics

7 relations
Computable functionEvolutionary algorithmGame theoryMarkov decision process

Broader (2)

Control theoryMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
An Energy-Efficient Scheduling Framework for Cloud Using Learning Automata
Cloud computing is an emerging paradigm which helps to realize scalability, high availability, and cost-efficiency. Various… 
2012
2012
Distributed Fault Detection Method and Diagnosis of Fault Type in Clustered Wireless Sensor Networks
Due to the resource restrictions in sensor nodes of wireless sensor networks and because of their deployment in harsh and… 
2009
2009
Data Mining Using Learning Automata
In this paper a data miner based on the learning automata is proposed and is called LA-miner. The LA-miner extracts… 
2008
2008
Solving Graph Coloring Problems Using Learning Automata
The graph coloring problem (GCP) is a widely studied combinatorial optimization problem with numerous applications, including… 
2008
2008
Learning automata-based co-evolutionary genetic algorithms for function optimization
Co-evolutionary genetic algorithms are being used to solve the problems which are naturally distributed and need the composition… 
2007
2007
Solving the Satisfiability Problem Using Finite Learning Automata
A large number of problems that occur in knowledge -representation, learning, VLSI-design, and other areas of artificial… 
2005
2005
Learning-TCP: A Novel Learning Automata Based Congestion Window Updating Mechanism for Ad hoc Wireless Networks
The use of traditional TCP, in its present form, for reliable transport over Ad hoc Wireless Networks (AWNs) leads to a… 
2000
2000
Adaptation of parameters of BP algorithm using learning automata
  • H. BeigyM. Meybodi
  • Proceedings. Vol.1. Sixth Brazilian Symposium on…
  • 2000
  • Corpus ID: 40779742
The backpropagation (BP) algorithm is a systematic method for training multilayer neural networks. Despite the many successful… 
1988
1988
Decentralized adaptive routing for virtual circuit networks using stochastic learning automata
The problem of routing virtual circuits according to dynamical probabilities in virtual-circuit packet-switched networks is… 
1984
1984
New topics in learning automata theory and applications
Learning behaviors of stochastic automata under multi-teacher environment.- Learning behaviors of stochastic automata under… 
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