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Applications of Artificial Intelligence

The rapid development of accessible computing power in the 1980s has led to the use of computers and direct or indirect applications of machine intelligence in every sphere of engineering. As a modem science philosopher said, The emergence of machine intelligence during [Pg.303]

Technique/ material ShW UT LoW SuW Penetrant V F Radiography 7 ray X ray Eddy current Acoustic emission Visual [Pg.304]

TABLE 4.8 Examples of Sensitivities Achievable by Using a Combination of Two NDE Techniques [Pg.305]

The application of artificial intelligence in performing expert functions has opened new commimication channels between various strata [Pg.305]

Transfer effectiveness = experts after / experts before I [Pg.307]


The DENDRAL project initiated in 1964 at Stanford was the prototypical application of artificial intelligence techniques - or what was understood at that time under this name - to chemical problems. Chemical structure generators were developed and information from mass spectra was used to prune the chemical graphs in order to derive the chemical structure associated with a certain mass spectrum. [Pg.11]

R. K. Lindsay, B. G. Buchanan, E.A. Feigenbaum, J. Lederberg, Applications of Artificial Intelligence for Organic Chemistry, McGraw-Hill, New York, 1980. [Pg.485]

Burns, R.S. (1997) The Application of Artificial Intelligence Techniques to Modelling and Control of Surface Ships. In Proc. 11th Ship Control Systems Symposium, Southampton UK, April, 1, 77-83. [Pg.428]

Loushin, L. L., First Application of Artificial Intelligence for Corrosion Control in the Petroleum Industry , Materials Performance, Tl, 6, 77-83, June (1988)... [Pg.1152]

H. Applications of artificial intelligence for chemical inference. XII. Exhaustive generation of cyclic and acyclic isomers. J. Am. Chem. Soc. 96 (1974) 7702-7714. [Pg.143]

It is this integrative attitude that today characterizes most of the work in the area of intelligent systems for process engineering, as the editors of this volume have indicated in a recent review article. (4) It is this need for integrative approaches that has moved the applications of artificial intelligence into the mainstream of engineering activities. This is certainly the pivotal feature that characterizes the ten paradigms discussed in the subsequent chapters. [Pg.23]

The brain s remarkable ability to learn through a process of pattern recognition suggests that, if we wish to develop a software tool to detect patterns in scientific or, indeed, any other kind of data, the structure of the brain could be a productive starting point. This view led to the development of artificial neural networks (ANNs). The several methods that are gathered under the ANN umbrella constitute some of the most widely used applications of Artificial Intelligence in science. Typical areas in which ANNs are of value include ... [Pg.10]

Expert systems appear in some ways to be the "classic" application of Artificial Intelligence. An expert system is a kind of personal advisor that engages the user in a conversation with the aim of providing help on a specialist topic. In sophisticated systems, the interaction between the expert system (ES) software and the user may be so natural that the user almost forgets that it is a computer rather than a human that is holding up the other end of the conversation. As developers of an ES usually do their best to create software that can participate in "intelligent" conversations, in order to enhance the user s confidence in the system, expert systems can seem the most human and friendly side of AI. [Pg.203]

N.A.B. Gray, A. Buchs, D.H. Smith and C. Djerassi, Application of artificial intelligence for chemical inference. Part XXXVI. Computer assisted structural interpretation of mass spectral data, Helv. Chim. Acta, 64 (1981) 458-470. [Pg.398]

J.P. Steyer, I. Queinnec, and D. Simoes. BIOTECH A real time application of artificial intelligence for fermentation processes. Control Eng. Pract., 1(2) 315-321, 1993. [Pg.239]

Most of the applications of artificial intelligence in chemistry so far have not involved numerical computation as a primary goal. Yet there are aspects of the AI approach to problem-solving which have relevance to computation. In scientific computation, one could view the knowledge base as the set of equations, input variable values, and unit conversions relevant to the problem, and the inference engine the numerical method used to solve the equations. This paper describes such a software system,... [Pg.111]

Wipke, W. T. Ouchi, G. I. Krishnan, S. "SECS An Application of Artificial Intelligence Techniques . Artificial Intelligence... [Pg.207]

Blower, P. E., Jr., An Application of Artificial Intelligence to Organic Synthesis, PhD Thesis, University of Wisconsin, 1975. [Pg.243]

De P. Emerenciano, V. et al., Application of artificial intelligence in organic chemistry. Part XIX. Pattern recognition and structural determination of flavonoids using 13C-NMR spectra. Spectroscopy, 13, 181, 1997. [Pg.119]

Application of Artificial Intelligence (Al) Technology to Bioprocess Control... [Pg.232]

Gamberger, D., S. Sekusak, Z. Medven, and A. Sabljic, Application of artificial intelligence in biodegradation modelling . In Biodegradability Prediction, W. J. G. M. Peijnenburg and J. Damborsky, Eds., Kluwer Academic, Dordrecht, 1996, pp. 41-50. [Pg.1224]

Morant, F., Martinez, M. and Pic6, J. In Application of Artificial Intelligence in Process Control by Boullart, L., Krijgsman, A. and Vingerhoeds, R. A. eds. Section VI. Supervised adaptive control. [Pg.730]

H.M. Cartwright, Applications of Artificial Intelligence in Chemistry, Oxford University Press, Oxford, 1993. [Pg.751]

F. Pierri, G. Paviglianiti, F. Caccavale, and M. Mattel Observer-based sensor fault detection and isolationfor chemical batch reactors. Engineering Applications of Artificial Intelligence, 21 1204-1216,2008. [Pg.119]

C. Rojas-Guzman and M.A. Kramer. Comparison of belief networks and rule-based expert systems for fault diagnosis of chemical processes. Engineering Application of Artificial Intelligence, 6 191, 1993. [Pg.157]

Shue, H.J., "A application of artificial intelligence to the problem of organic synthesis discovery , Technical Report, Depts. of Computer Science and Chemistry, SUNY at Stony Brook, August, 1971. [Pg.203]

A very important role in the proliferation and practical use of mathematical chemistry has been played by computers, especially in the last two decades, when the use of computers was extended from numerical computations and data handling to decision-making and logical problem-solving processes. The DENDRAL project, started at Stanford in the 1960s, may serve as an illustrative example [3], It was fairly successful, and strongly influenced the collaboration between chemists, computer scientists, and mathematicians. Many applications of artificial intelligence in chemistry, and especially the construction of expert systems, are natural consequences of this collaboration [4],... [Pg.123]

Lindsay RK, Buchanan BG, Feigenbaum EA, LederbergJ (1980) Applications of artificial intelligence for organic chemistry The DENDRAL Project. McGraw-Hill, New York... [Pg.195]

The development of algorithms for the handling of chemical structures and data, and the application of artificial intelligence to property prediction, etc., led to the emergence of companies specialising in chemical software applications, now known as chem(o)informatics. Ideally such enterprises should couple with large dictionary databases. [Pg.23]


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