Text detection and Character recognition from the image has been one of the most interesting and challenging research areas in field of pattern recognition, artificial intelligence, machine vision and image processing in the recent years. There are basically four steps that include preprocessing, feature extraction, candidate’s selection, and desired character recognition to develop any of the ...

In this paper, fuzzy modeling for the control of basic oxygen furnace (BOF) processes is proposed. BOF is a widely preferred and effective steel making method due to its higher productivity and considerably low production cost. Therefore, today almost 65% of the total crude steel production in the world is met by using the BOF method. Higher steel output at lower cost is one of the main objecti...

This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and/or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The case studies are in the areas of categorical consistency, diagnostic monitoring and scoring. The solutions use a v...

Determination of the fuzzy membership functions in a given fuzzy logic system is the key factor for resulting in the best performance. Thus, in this study, particle swarm optimization (PSO) and artificial bee colony (ABC), relatively new member of swarm intelligence, are used to adjust the shape of fuzzy membership functions, respectively. Proposed methods have been implemented and compared for...

The complexity of real production systems implies more difficulties to make an efficient monitoring and especially fault diagnosis. We propose a new method supporting the operator to find the cause and the origin of a fault. To obtain a diagnosis aid system that is both reactive and easy to configure, we define a set of artificial intelligence tools using neuro-fuzzy techniques. The interest of...

To screen consumer loan applications, loan officers use many different methods besides intuitive judgment and experience. They use mathematical techniques such as credit-scoring models and traditional statistical models. In addition, many financial institutions use artificial intelligence methods such as expert systems, artificial neural systems, and fuzzy logic. This study proposes the develop...

The systemic nature of the risk bankruptcy financial institutions has become an important issue in maintaining existence and stability domestic global finance. use statistics for prediction so far provides optimal benefits. However, this approach limitations, especially since model is built based on systematic relationships, linearity normality aspects are often weaknesses. This can be overcome...