… engineering cannot be met by the traditional computing paradigms. But, before we explore
how artificial intelligence … of computing paradigms in various areas of chemical engineering, it …

… The artificial intelligence technologies that are associated with knowledge-based … in the
process industries include expert systems, fuzzy logic, machine learning and pattern recognition. …

… Their suitability for solving some process engineering … studies and recent applications to
industrial process data. In the latter, … of artificial neural network methodologies within a process …

… The coming of artificial intelligence techniques has impacted our private lives and every
engineering process. Areas such as manufacturing, industrial design, inspection, monitoring …

… This paper reviews five artificial intelligence tools that are most applicable to engineering …
use in different branches of engineering. The paper concludes by describing some of the …

… to artificial intelligence (AI) for chemical engineers. In the classroom, the book can serve
as the textbook for a one-semester course in artificial intelligence in chemical engineering for …

… On the other hand, the procedure of diagnosing the deviated process is usually descriptive
and heuristic. Many rules-of-thumb can be extracted from the process engineers or operators. …

… of artificial intelligence (AI) in the field of industrial engineering. … The use of AI techniques
such as machine learning, … elements of industrial engineering, including process optimization, …

… Conclusions The major task for the petroleum professional is to identify the type of problems
that are going to benefit the most from artificial intelligence. An integrated intelligent system, …

… artificial intelligence in engineering. The author reviews five key paradigms of artificial intelligence
in engineering… , neural networks, genetic algorithms, fuzzy logic and intelligent agents. …