APPLICATION OF MACHINE LEARNING METHODS IN DRILLING AUTOMATION TASKS
Journal Title: Наукові праці. Серія "Комп’ютерні технології" - Year 2016, Vol 287, Issue 275
Abstract
Most modern drilling machines are not able to drill composite materials (CM) automatically with preservation a drill against breakages. The proposed effective learning algorithm is able to manage com-plex hardware devices while minimizing damage to drills and differs simplicity and adaptability.
Authors and Affiliations
O. Streltsov, А. Kachur
THE COMPLEX SYSTEM MODELING BASED ON THE BASIC PRINCIPLES OF AUTOPOIESIS
The paper are considered the problems of complex systems design as an actual task of the systems engineering the-ory. Features of information processes in the complex systems and contemporary approaches of accounting of...
NEAREST DOMAIN BLOCK AS A ROOT OF FRACTAL IMAGE COMPRESSION
Using domain block for issuing of fractal image compression. Nearest blocks are taking crucial role in fractal image compression. Hash functions need to be used in case of compression process. The prob-lem of finding the...
PIEZOELECTRIC DRIVE USAGE IN SHIP PROPULSION
Hydraulic and electromagnetic drive are used as actuating mechanisms for fuel oil and gas injection on ships equipped with electronically controlled diesel engines. It leads to weight and size increasing, high power cons...
MODELS AND METHODS PROCESSING OF DIGITAL TEXTURAL IMAGES IN AEROSPACE MONITORING SYSTEMS
Remote sensing of the land surface provides unique opportunities of operational data collection with high spatial, spectral and temporal resolution, which defines the great information opportunities of such systems. Auto...
ANALYSIS OF THE ALGORITHM FOR CALCULATING THE COORDINATES OF THE SHOT AND ITS PRACTICAL IMPLEMENTATION ON THE BASIS OF MOBILE DEVICE IN COOPERATION WITH THE UAV
We study the possibility of creating a sound source positioning system (shot) on the basis of the mobile device in cooperation with UAV. The method of gradient descent with a crushing step is proposed and implemented in...