Our previous article presented several computational models inspired on biological models, such as neural networks, evolutionary computation, swarm intelligence, and the artificial immune system. It also explained the most common problems in bioinformatics to which these models can be applied. The present article presents a series of approaches to bioinformatics tasks that were developed by mea...

Computer-based systems that incorporate artificial intelligence techniques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayes...

Introduction. The review is devoted to the analysis of world experience in use artificial intelligence medicine and urology. Materials methods. was conducted on basis data published PubMed, Scientific Electronic Library eLibrary.ru databases professional medical associations websites. article contains 43 scientific publications. Results. In this literature review, types neural networks features...

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd artificial organic networks artificial i...

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...

In artificial intelligence systems, various machine learning algorithms are used as learning algorithms. The most used artificial intelligence approaches are symbolic rule-based systems and subsymbolic neural networks. The main objective of this work is to study the game strategy emergence by using subsymbolic approach neural networks. From the viewpoint of artificial intelligence, games in gen...

The possibility of developing a machine that would “think” has intrigued human beings since ancient times. Artificial intelligence (AI) systems comprise two major areas, expert systems (ES) and artificial neural networks (ANNs). The major objective of this paper is to illustrate how artificial intelligence techniques might play an important role in modelling and prediction of the performance of...

This is a review paper which sets the scene by defining some fundamental concept, such as intelligence and intelligent systems, and then discusses current trends in applications of artificial intelligence in engineering. The author reviews five key paradigms of artificial intelligence in engineering: knowledge-based systems, neural networks, genetic algorithms, fuzzy logic and intelligent agents.

1. Review of Subject Articles 1.1.General Principles and Purposes of Computational Intelligence 1.2.Neural Networks 1.3.Simulated Annealing 1.4.Adaptive Systems 1.5.Biological Intelligence and Computational Intelligence 2. Introduction 3. Computability, Decidability, and Complexity 4. Computational Intelligence and Knowledge-based Systems 4.1.Beginning of Artificial Intelligence (AI) 4.2.Knowle...