PRACTICAL APPLICATION OF ARTIFICIAL NEURAL NETWORK IN MANAGEMENT
Keywords:
artificial intelligence, artificial neuron, neural network, biological neuron, weighting factor, excitation functions, expert system, weight module, characteristic function, training sample, learning cycleAbstract
The paper considers the practical application of an artificial neural network for solving complex, non-formalized tasks, such as pattern recognition, image processing, information processing, etc., as well as for controlling complex nonlinear dynamic objects. Artificial neural networks are based on the features of living neural networks that allow solving various tasks and are able to indicate the confidence level of each solution with specific and logical ones. In neural networks, all mathematical operations are carried out by a training program called a learning cycle.
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