Інтелектуальна система класифікації типу мислення людини на основі нейронної мережі

Abstract

In the diploma work considers the problem of classification mindset dyudyny using multilayer perceptron neural network. The software on the internal programming language of MATLAB. Based on these results it is possible to say that the profession is preferable for the person with a particular type of thinking. Software testing has shown the correctness of the classification problem mindset. Comparison of classification accuracy of the developed program from an analogue-based RBF neural network showed that the classification accuracy is better developed system.