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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Use of Neural Networks in Equity Trading
 Lahodová, Martina ; Veselá, Jitka (advisor) ; Stádník, Bohumil (referee)
The neural networks have been the fastest developing area of computer science lately. They have strong interdisciplinary character, so that they can be applied in many fields of human activity e.g. capital markets. The objective of the thesis is to apply a perceptron model to predicting future value of a sample of shares, to set the accuracy of prediction and bring the conclusion of reliable use of the neural networks. Opening chapters are concerned with general principles of neural networks functioning, their classification and different ways of their "learning". Analytic chapter is based on the creation and use of the perceptron model and the analysis of given results.
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