Soft Computing Methodologies for Intelligent Systems

Intelligent Control Systems Using Soft Computing Methodologies

Soft Computing for Hybrid Intelligent Systems

soft computing for hybrid intelligent systems What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our fri...

Soft Computing for Intelligent Knowledge-Based Systems

Knowledge-based systems are founded on the idea that knowledge should be declarative, so that it can be easily read, understood, and altered by a human user as well as by a machine. Logic fulfils these criteria, and logic programming has been widely used for implementing knowledge-based systems. One major shortcoming of logic programming is the lack of a mechanism to deal with the uncertainty i...

Soft Computing in Intelligent Multi-modal Systems

In this paper I will describe an intelligent multi-modal interface for a large workforce management system called the smart work manager. The main characteristics of the smart work manager are that it can process speech, text, face images, gaze information and simulated gestures using the mouse as input modalities, and its output is in the form of speech, text or graphics. The main components o...

Soft computing methodologies for structural optimization

The paper examines the efficiency of soft computing techniques in structural optimization, in particular algorithms based on evolution strategies combined with neural networks, for solving large-scale, continuous or discrete structural optimization problems. The proposed combined algorithms are implemented both in deterministic and reliability based structural optimization problems, in an effor...