Soft computing: the convergence of emerging reasoning technologies

  • Bonissone P
N/ACitations
Citations of this article
73Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Abstract The term Soft Computing (SC) represents the combination of emerging problem-solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural Networks (NNs), and Genetic Algorithms (GAs). Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. After a brief description of each of these technologies, we will analyze some of their most useful combinations, such as the use of FL to control GAs and NNs parameters; the application of GAs to evolve NNs (topologies or weights) or to tune FL controllers; and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms.Keywords Soft computing � hybrid systems � fuzzy systems � neural networks � evolutionary systems

Cite

CITATION STYLE

APA

Bonissone, P. P. (1997). Soft computing: the convergence of emerging reasoning technologies. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1(1), 6–18. https://doi.org/10.1007/s005000050002

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free