It is broadly recognised that the prediction and classification of protein sequences has become one of the most important research topic in present scenario. A variety of soft computing techniques including gravitational search algorithm, particle swarm optimization, act colony optimization, genetic algorithms and fuzzy logic have been implemented in order to enhance the efficiency and accuracy...

The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief sum...

The field of engineering is a creative one. The problems encountered in this field are generally unstructured and imprecise influenced by intuitions and past experiences of a designer. The conventional methods of computing relying on analytical or empirical relations become time consuming and labor intensive when posed with real life problems. To study, model and analyze such problems, approxim...

Electromyographic (EMG) is a bio-signal collected on human skeletal muscle. Analysis of EMG signals has been widely used to detect human movement intent, control various human-machine interfaces, diagnose neuromuscular diseases, and model neuromusculoskeletal system. With the advances of artificial intelligence and soft computing, many sophisticated techniques have been proposed for such purpos...

This paper reviews the application of principal soft computing techniques for the study of textile processes and products. Soft computing suggests a new computing methodology that is both flexible and easy. Three major branches of soft computing, namely fuzzy logic, neural networks, and genetic algorithms, are discussed in detail with respect to their applications in solving variety of textile ...

A novel method for estimating the dielectric properties of materials by applying different soft computing techniques is presented. Dielectric properties allow us to know other material characteristics such as moisture content, bio-content, chemical concentration, etc., which are of great importance on industrial or science fields. In this paper, we present a free-space measurement method along ...

Soft Computing has been described as computational systems that exploit tolerance for imprecision, uncertainty, partial truth and approximation [8]. Such systems include artificial neural networks, fuzzy systems, evolutionary algorithms and probabilistic reasoning. Artificial Immune Systems (AIS) have recently been proposed as an additional soft computing paradigm [5]. It has been argued that A...

Adaptive Hypermedia systems are becoming more important in our everyday activities and users are expecting more intelligent services from them. The key element of a generic adaptive hypermedia system is the user model. Traditional machine learning techniques used to create user models are usually too rigid to capture the inherent uncertainty of human behavior. In this context, soft computing te...

This short note is devoted to introduce the discussion carried out along this special issue on the concept of Soft Computing by key researchers in the field. We shall stress some aspects of the conception and origins of Soft Computing, supported by the scientific relevance of its participants. The contributors will show their own view about a single question, What is Soft Computing?, covering a...