The Development of Expert Systems Using Artificial Intelligence
Rustam A. Burnashev, Ruslan G. Gabdrahmanov andArslan I. Enikeev
This article presents a study related to the development of logical systems using artificial intelligence on the example of diagnosing leukemia. Data sets and logical rules that were used for the initial diagnosis of the disease were identified. In the process of learning, a neural network can reveal complex dependencies between the input data, as well as summarize the information obtained. This system includes a perceptron and consists of 3 hidden layers: 80 neurons (relu), 40 neurons (selu) and 1 neuron (sigmoid). For software development was used programming language Python.