𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A genetic algorithm to obtain the optimal recurrent neural network

✍ Scribed by A. Blanco; M. Delgado; M.C. Pegalajar


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
221 KB
Volume
23
Category
Article
ISSN
0888-613X

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Global optimization of a dryer by using
✍ A. Hugget; P. Sébastian; J.-P. Nadeau 📂 Article 📅 1999 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 162 KB 👁 2 views

For many optimum design problems, the objecti®e function is the result of a complex numerical code and may not be differentiable and explicit. The first aim is to propose a way of sol®ing such complexity on an example problem. A no®el and global strategy in®ol®ing artificial neural networks and a ge

Pattern recall analysis of the Hopfield
✍ Somesh Kumar; Manu Pratap Singh 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 303 KB

This paper describes the implementation of a genetic algorithm to evolve the population of weight matrices for storing and recalling the patterns in a Hopfield type neural network model. In the Hopfield type neural network of associative memory, the appropriate arrangement of synaptic weights provid

An alternative approach for neural netwo
✍ Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 750 KB

In this work we present a new approach to crossover operator in the genetic evolution of neural networks. The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming. This paradigm is usually preferred due to the problems caused by the application