Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic hu
The last decade, civil engineering has exercised a rapidly growing interest in the application of ne...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
Soft Computing (SC) is a concept with constantly evolving semantics, as researchers have adopted its...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The book provides a sample of research on the innovative theory and applications of so...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Abstract. Soft Computing is an interdisciplinary area that encompasses a variety of computing paradi...
[[abstract]]Knowledge is the essential element of human thoughts. Creating an artificial system with...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft computing is an association of computing methodologies that includes fuzzy logic, neuro-computi...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
The last decade, civil engineering has exercised a rapidly growing interest in the application of ne...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
Soft Computing (SC) is a concept with constantly evolving semantics, as researchers have adopted its...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The book provides a sample of research on the innovative theory and applications of so...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Abstract. Soft Computing is an interdisciplinary area that encompasses a variety of computing paradi...
[[abstract]]Knowledge is the essential element of human thoughts. Creating an artificial system with...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft computing is an association of computing methodologies that includes fuzzy logic, neuro-computi...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
The last decade, civil engineering has exercised a rapidly growing interest in the application of ne...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
Soft Computing (SC) is a concept with constantly evolving semantics, as researchers have adopted its...