Add to ORKGGenetic algorithms (GA) are used to search the synaptic weight space of artificial neural systems (ANS) for weight vectors that optimize some network performance function. GAs do not suffer from some of the architectural constraints involved with other techniques and it is straightforward to incorporate terms into the performance function concerning the metastructure of the ANS. Hence GAs offer a remarkably general approach to calibrating ANS. GAs are applied to the problem of calibrating an ANS that finds optimal paths over a given surface. This problem involves training an ANS on a relatively small set of paths and then examining whether the calibrated ANS is able to find good paths between arbitrary start and end points on the surface
Abstract: The artificial neural networks (ANN) have proven their efficiency in several applications:...
Genetic algorithms are computational techniques for search, optimization and machine learning that a...
The design of Artificial Neural Networks by Genetic Algorithm is useful in terms of (1) automating a...
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2002-20...
Abstract- Artificial Neural Networks have a number of properties which make them psuitable to solve ...
It has been demonstrated that genetic algorithms (GAs) can help search the global (or near global) o...
This paper proposes an approach to the problem of adaptation of neuralnetworks (NN) to arbitrary tas...
The training of product neural networks using genetic algorithms is discussed. Two unusual neural ne...
This paper studies several applications of genetic algorithms (GAs) within the neural networks field...
The authors present a technique for reducing the search-space of the genetic algorithm (GA) to impro...
For many applications feedforward neural networks have proved to be a valuable tool. Although the ba...
This work deals with methods for finding optimal neural network architectures to learn par-ticular p...
Neural networks and genetic algorithms are the two sophisticated machine learning techniques present...
We present a general and systematic method for neural network design based on the genetic algorithm....
: This paper shows how to find both the weights and architecture for a neural network (including the...
Abstract: The artificial neural networks (ANN) have proven their efficiency in several applications:...
Genetic algorithms are computational techniques for search, optimization and machine learning that a...
The design of Artificial Neural Networks by Genetic Algorithm is useful in terms of (1) automating a...
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2002-20...
Abstract- Artificial Neural Networks have a number of properties which make them psuitable to solve ...
It has been demonstrated that genetic algorithms (GAs) can help search the global (or near global) o...
This paper proposes an approach to the problem of adaptation of neuralnetworks (NN) to arbitrary tas...
The training of product neural networks using genetic algorithms is discussed. Two unusual neural ne...
This paper studies several applications of genetic algorithms (GAs) within the neural networks field...
The authors present a technique for reducing the search-space of the genetic algorithm (GA) to impro...
For many applications feedforward neural networks have proved to be a valuable tool. Although the ba...
This work deals with methods for finding optimal neural network architectures to learn par-ticular p...
Neural networks and genetic algorithms are the two sophisticated machine learning techniques present...
We present a general and systematic method for neural network design based on the genetic algorithm....
: This paper shows how to find both the weights and architecture for a neural network (including the...
Abstract: The artificial neural networks (ANN) have proven their efficiency in several applications:...
Genetic algorithms are computational techniques for search, optimization and machine learning that a...
The design of Artificial Neural Networks by Genetic Algorithm is useful in terms of (1) automating a...