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On the issue of developing the diesel engine neural network controller
| Authors: Kuznetsov A.G., Kharitonov S.V., Kamenskikh S.A. | Published: 08.05.2023 |
| Published in issue: #5(758)/2023 | |
| Category: Energy and Electrical Engineering | Chapter: Turbomachines and Piston Engines | |
| Keywords: diesel engine, automatic control system, neural network controller, neural network, network structure, network learning method |
Simulating Characteristics of Vaneless Diffusers Using Neural Networks
| Authors: Galerkin Y.B., Nikiforov A.G., Solovyeva O.A., Popova E.Y., Rekovets A.V. | Published: 01.08.2020 |
| Published in issue: #7(724)/2020 | |
| Category: Energy and Electrical Engineering | Chapter: Vacuum and Compressor Technology and Pneumatic Systems | |
| Keywords: centrifugal compressor stage, vaneless diffuser, loss coefficient, mathematical model, neural network |
A Neural Network Mathematical Model Design Method for Estimating Compressed Air Volume Flow through a Proportional Valve
| Authors: Zelenov M.S., Chernyshev A.V. | Published: 18.06.2019 |
| Published in issue: #6(711)/2019 | |
| Category: Energy and Electrical Engineering | Chapter: Vacuum and Compressor Technology and Pneumatic Systems | |
| Keywords: pneumatic systems, proportional valve, neural network, mathematical model, air flow control |
The Assessment of Cutting Ability of Nitride-Boron High Porous Wheels when Flat Grinding Steel 13Kh15N5AM3 Parts by Surface Macrogeometry Using Artificial Intelligence
| Authors: Soler Y.I., Nguen M.T., Mai D.S. | Published: 16.12.2016 |
| Published in issue: #12(681)/2016 | |
| Category: Technology and Process Machines | |
| Keywords: grinding, flatness deviation, high porous wheels, fuzzy logic, neural network, activation function |