학술논문

Intellectual methods of comparing power generating objects
Document Type
Conference
Source
2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS) Intelligent Energy and Power Systems (IEPS), 2020 IEEE 4th International Conference on. :221-224 Sep, 2020
Subject
Nuclear Engineering
Power, Energy and Industry Applications
Neurons
Encoding
Biological neural networks
Object recognition
Power systems
Conferences
Task analysis
neural network
comparing
identifying
Hemming’s distance
bipolar encoding
Language
Abstract
A new method of synthesizing neural network for comparing, identifying, and classifying various objects through bipolar encoding of their attributes is offered. The mentioned method broadens the neuron network applicability sphere for solving tasks of identification and classification due to the use of proximity functions applying finer proximity attributes for discrete objects than the Hemming’s distance.