Titlebook: Recent Advances in Intelligent Paradigms and Applications; Ajith Abraham,Lakhmi C. Jain,Janusz Kacprzyk Book 2003 Springer-Verlag Berlin H

清澈

Embodied Emotional Agent in Intelligent Training System,esigned to play, using our own system as a reference; next, we outline the agent’s internal architecture. In conclusion, we discuss the inputs taken by the system and how these are treated to modify the emotional model of the agent.

notion

modish

On Efficient Representation of Expert Knowledge by Fuzzy Logic: Towards an Optimal Combination of Gther approach did not succeed so well; it is therefore desirable to combine these two approaches. This idea of combining the two approaches is very natural, but so far, it has led to few successful practical applications. In this chapter, we provide results aimed at finding a better (ideally optimal) way of combining these approaches.

RENAL

Neuro-Fuzzy Methods for Modeling and Identification,dels are based on combinations of algorithms from the fields of neural networks, pattern recognition and regression analysis. This chapter addresses the use of neuro-fuzzy models in system identification.

hypertension

卵石

Constrained Two Dimensional Bin Packing Using a Genetic Algorithm, penalizes the solution strings based on the extent by which they violate the length and breadth constraints. The proposed genetic algorithm is compared with the heuristic method of Gehring et.al. and the genetic algorithm of Hwang et. al. Results indicate that the proposed method is superior in terms of packing efficiency and solution time.

persistence

arthroplasty

rheumatology

antedate