Mathematical formulation of the problem of training the multilayer perceptron for classification of market situations
The article deals with application of a multilayer perceptron as a core of an intelligent decision support system for a trader of financial markets. General concepts of designing a neural network for tasks of market situation classification are considered. Mathematical statement of the task of the designed neural network training is presented.