Neural networks Artificial intelligence

Ripley, B. D. (1997b). Statistical ideas for selecting network architectures. In Neural Networks Artificial Intelligence and Industrial Applications (ed. K. B. and S. Gielen), pp. 183-90. Springer. 

Neural Network Artificial intelligence system modeled after the human neural system. 

Artificial Neural Networks have the following potential advantages for intelligent control ... 

Intelligent structures are smart structures that have the added capability of learning and adapting rather than simply responding in a programmed manner, and this is usually accomplished by inclusion of Artificial Neural Network (ANN) into the stmcture (Figure 10.2). 

Several techniques from statistics, such as partial least-squares regression, and from artificial intelligence, such as artificial neural networks have been used to learn empirical input/ output relationships. Two of the most significant disadvantages of these approaches are the following ... 

M. Mulholland, D.B. Hibbert, P.R. Haddad and P. Parslov, A comparison of classification in artificial intelligence, induction versus a self-organising neural networks. Chemom. Intell. Lab. Systems, 30 (1995) 117-128. 

In addition, methods of artificial intelligence (artificial neural networks and genetic algorithms) are applied. 

With the development of methods of artificial intelligence, neural networks are used increasingly for classification see Sect. 8.3.6. 

Another form of artificial intelligence is realized in artificial neural networks (ANN). The principle of ANNs has been presented in Sect. 6.5. Apart from calibration, data analysis and interpretation is one of the most important fields of application of ANNs in analytical chemistry (Tusar et al. [1991] Zupan and Gasteiger [1993]) where two branches claim particular interest ... 

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 ... 

Includes an introduction to artificial intelligence, artificial neural networks, self-organizing maps, and growing cell structures... 

Artificial intelligence, for monitoring and modelling fermentation, 77 41 Artificial kidneys, 75 844-845 Artificial neural networks... 

Finally, the artificial neural network methods try to imitate human intelligence with the power of statistic. 

Grossberg, S. (1988) Neural Networks and Artificial Intelligence MIT Press, Cambridge, MA... 

The classical adaptive control scheme is shown in Figure 2.58. Its goal is to use online identification through artificial intelligence (Al), neural networks, and fuzzy logic to adapt the model to the actual process. Al and model predictive control (MPC) can tolerate inaccuracy and uncertainty in the model, and online training can continuously improve the model. 

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