Each molecule is described by a set of structural features, a set of physical properties and the strength of some activity, such as toxicity. We are using artificial intelligence to find patterns of these structural features and properties that correspond to a desired level of activity in various classes of molecules. Specifically, we are !using genetic algorithms, neural networks and fuzzy log...

After a basic introduction of fuzzy logic, we discuss its role in artiicial and computational intelligence. Then we present innovative applications of fuzzy logic, focusing on fuzzy expert systems, with one typical example explored in some detail. The article concludes with suggestions how artiicial intelligence and fuzzy logic can beneet from each other.

This paper presents an approach that integrates computational intelligence/soft computing paradigms with clinical investigation methods and knowledge. Computational intelligence methods (including fuzzy logic, neural networks and genetic algorithms) deal in a suitable way with imprecision, uncertainty and partial truth. These aspects can be found quite often in practical medical activities and ...

Many workers perform their daily activities outdoors undertaking different postures and many anatomical body sites are UVR exposed. This paper aims to compare the anatomical distribution of the solar erythemal UVR to the higher half of the body for farm workers during their usual working activity in agriculture. This research was carried out in the experimental farm“Azienda Agraria Didattico-Sp...

This paper addresses wind speed prediction in the dynamic line rating (DLR) environment. We have described architecture of DLR system as well main characteristics nonlinear forecasting models, such neural and fuzzy logic networks. Described models were tested compared using real data (time series with on speed, direction, air temperature, solar radiation). The goal was to increase accuracy time...

Fuzzy logic has become an important tool for number of different applications ranging from the control of engineering system to artificial intelligence. Practical applications of fuzzy logic pose a unique set of problems. The design of systems, which apply fuzzy logic to make use of human knowledge and experience, is a daunting task without facing engineering problems of real world systems. In ...

Telemetry systems is an innovative design of electronics and computer system which can be used to take measurements from a remote site by using any type of link like Radio link, optical fiber, co-axial cables etc. Telemetry systems can take any of the measurement like pressure, temperature, density, humidity etc. from a target location and sends the taken measurements via wired or wireless link...

BACKGROUND This work is part of a broader research that focuses on ocular health. Three outlines are the basis of the pyramid that comprehend the research as a whole: authors' previous work, which has provided the public to self-check their own sunglasses regarding the ultraviolet protection compatible to their category; Brazilian national survey in order to improve nationalization of sunglasse...

This paper presents a Fuzzy logic based Design for Six Sigma (FLBDFSS) incorporating the traits of artificial intelligence and statistical techniques. In the identify phase of FLBDFSS, fuzzy relation measures between Customer Attributes and Engineering Characteristics as well as fuzzy correlation measures among ECs are determined with the aid of two Fuzzy Logic Controllers. These two measures a...

The paper carried a brief overview of artificial intelligence algorithms applicable to nondestructive testing. It focuses on two methods: artificial neural networks and fuzzy logic. Selected examples of applications of these methods in digital radiography and eddy current method are given.