In this article, we design a user interface for prototype desktop application using the capabilities of author’s neural network recognizing texts in Japanese written by one two alphabets – katakana or hiragana. During design, UML notation, Use-Case Diagram, was used to build scenarios program, and BPMN notation describe program’s main algorithm. beginning article short versions previous article...

Through the development of artificial intelligence, some capabilities human beings have been replicated in computers. Among developed models, convolutional neural networks stand out considerably because they make it possible for systems to inherent humans, such as pattern recognition images and signals. However, conventional methods are based on deterministic which cannot express epistemic unce...