Download Adaptive Intelligent Systems. Proceedings of the Bankai by Swift, Society for Worldwide Interban PDF

By Swift, Society for Worldwide Interban

Devoted to the honor of complicated IT applied sciences and their monetary purposes, this quantity comprises contributions from a global workforce of method builders and executives from academia, monetary and their providers - all actively excited by the improvement and sensible advent to those applied sciences into banking and monetary organisations. targeting genuine adventure and current wishes instead of theoretical percentages or restricted prototype purposes, it's was hoping the ebook will provide a greater perception into complicated IT perform and strength because it presently exists and inspire modern builders and researchers. as well as the dialogue of a variety of applied sciences and methods to make sure adaptivity, 3 different significant themes are exlored within the e-book - neural networks, classical software program engineering options and rule-based platforms

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Additional resources for Adaptive Intelligent Systems. Proceedings of the Bankai Workshop, Brussels, Belgium, 12–14 October 1992

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But you can't follow him. Why argue then that artificial neural networks are not an applicable technology if other methods are also really "black boxes"? Another question arises; why do we oppose using one technology or the other? Perhaps we could combine these different methods. If the majority of systems say price will increase, that could be the decision. Perhaps the combination of many systems may point to developments we yet do not recognise, and perhaps this is a field for further research.

Products, we have them; mathematical foundations, neural networks have them; necessity, we have shown there is a need; sophistication, yes it is sophisticated; finance and 36 Debate I capital, yes it has money; and a growth road map. There is a sense of direction. So with all this, I trust you will agree that the motion is carried. Neural networks are an applicable technology today. - The next speaker will speak against the motion. - I will make a few indicative remarks that you might wish to consider if you were in a position to apply a neural network system in a real, possibly commercial, application today.

Is the information we use today sufficient for the tasks? Isn't there too little information? Think about it. It is like the American president having a health problem in Tokyo and stock prices falling. It is now very difficult to use such things as input. But it will be easier if you have enough process capability so that you can use everything you need as input. - There is a problem in creating networks, because people are not familiar with what types of inputs to use, what types of networks, how many hidden layers and all these things.

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