Add to ORKGWe consider stochastic automata models of learning systems in this article. Such learning automata select the best action out of a finite number of actions by repeated interaction with the unknown random environment in which they operate. The selection of an action at each instant is done on the basis of a probability distribution which is updated according to a learning algorithm. Convergence theorems for the learning algorithms are available. Moreover the automata can be arranged in the form of teams and hierarchies to handle complex learning problems such as pattern recognition. These interconnections of learning automata could be regarded as artificial neural networks
The problem of optimization with noisy measurements is common in many areas of engineering. The only...
AbstractWe present applications of domain theory in stochastic learning automata and in neural nets....
Automata models of learning systems introduced in the 1960s were popularized as learning automata (L...
We consider stochastic automata models of learning systems in this article. Such learning automata s...
Stochastic automata operating in an unknown random environment have been proposed earlier as models ...
This paper presents an overview of the field of Stochastic Learning Automata (LA), and concentrates,...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
Abstract:- A stochastic automaton can perform a finite number of actions in a random environment. Wh...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
The problem of optimization with noisy measurements is common in many areas of engineering. The only...
AbstractWe present applications of domain theory in stochastic learning automata and in neural nets....
Automata models of learning systems introduced in the 1960s were popularized as learning automata (L...
We consider stochastic automata models of learning systems in this article. Such learning automata s...
Stochastic automata operating in an unknown random environment have been proposed earlier as models ...
This paper presents an overview of the field of Stochastic Learning Automata (LA), and concentrates,...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
Stochastic automata operating in an unknown random environment have been successfully used in modell...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
Abstract:- A stochastic automaton can perform a finite number of actions in a random environment. Wh...
In many problems of decision making under uncertainty the system has to acquire knowledge of its env...
The problem of optimization with noisy measurements is common in many areas of engineering. The only...
AbstractWe present applications of domain theory in stochastic learning automata and in neural nets....
Automata models of learning systems introduced in the 1960s were popularized as learning automata (L...