APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS
Article Sidebar
Published:
2019-12-15
Issue Vol. 9 No. 4 (2019)
-
CONCEPT OF A SELF-LEARNING WORKPLACE CELL FOR WORKER ASSISTANCE WHILE COLLABORATION WITH A ROBOT WITHIN THE SELF-ADAPTING-PRODUCTION-PLANNING-SYSTEM
4-9
-
DATA-BASED PREDICTION OF SOOT EMISSIONS FOR TRANSIENT ENGINE OPERATION
10-13
-
APPLICATION OF THE LENNARD-JONES POTENTIAL IN MODELLING ROBOT MOTION
14-17
-
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS
18-21
-
APPLICATION OF OPTICAL PROFILOMETRY IN THE ANALYSIS OF THE DESTRUCTION PROCESS OF RENOVATION ORGANIC COATINGS FOR THE AUTOMOTIVE INDUSTRY
22-25
-
ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION IN PRODUCTION PROCESS CONTROL SYSTEMS
26-29
-
MEASUREMENT OF TWO-PHASE GAS-LIQUID FLOW USING STANDARD AND SLOTTED ORIFICE
30-33
-
DETERMINATION OF YOUNG’S DYNAMIC MODULUS OF POLYMER MATERIALS BY RESONANCE VIBRATING-REED METHOD
34-37
-
DETERMINATION OF THE OPTIMAL SCANNING STEP FOR EVALUATION OF IMAGE RECONSTRUCTION QUALITY IN MAGNETOACOUSTIC TOMOGRAPHY WITH MAGNETIC INDUCTION
38-42
-
CONSTRUCTION OF AN ULTRASONIC TOMOGRAPH FOR ANALYSIS OF TECHNOLOGICAL PROCESSES IN THE FIELD OF REFLECTION AND TRANSMISSION WAVES
43-47
-
A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY
48-51
-
EVALUATION OF THE ELECTRICAL CAPACITANCE TOMOGRAPHY SYSTEM FOR MEASUREMENT USING 3D SENSOR
52-59
-
USING 3D PRINTING TECHNOLOGY TO FULL-SCALE SIMULATION OF THE UPPER RESPIRATORY TRACT
60-63
-
CONCEPT AND REALIZATION OF BACKPACK-TYPE SYSTEM FOR MULTICHANNEL ELECTROPHYSIOLOGY IN FREELY BEHAVING RODENTS
64-68
-
ATRIAL FIBRILLATION DETECTION ON ELECTROCARDIOGRAMS WITH CONVOLUTIONAL NEURAL NETWORKS
69-73
-
THE CONCEPT OF A FLYING ELECTROMAGNETIC FIELD MEASURING PLATFORM
74-77
-
LOW COST SOLAR THERMOELECTRIC WATER FLOATING DEVICE TO SUPPLY MEASUREMENT PLATFORM
78-82
-
IMPROVING THE DYNAMICS OF AN INVERTER-BASED PV GENERATOR DURING LOAD DUMPS
83-86
-
MEASUREMENT SYSTEMS FOR THE ENERGY PRODUCED BY THE PHOTOVOLTAIC SYSTEM AND CONSUMED BY THE BUILDING OF THE LUBLIN SCIENCE AND TECHNOLOGY PARK
87-92
-
DESIGN, CONSTRUCTION AND AUTOMATIC CONTROL SYSTEM OF SINGLE-STAGE SIX-BED ADSORPTION HEAT PUMP
93-98
Main Article Content
Authors
Abstract
The structure of the artificial neural network (ANN) to support the selection of organic coatings was developed and verified, and its learning process was carried out. A simulation of the operation of the network was also carried out, which showed that programming of the coating system selection process can be much faster and more accurate, which is important for a system used in industrial conditions.
Keywords:
artificial neural network, organic coatings
Article Details
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS. (2019). Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(4), 18-21. https://doi.org/10.35784/iapgos.63
