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Solving Navier-Stokes equation using FPGA cellular neural network chip
Advances in Intelligent Systems and Computing Số , năm 2017 (Tập 538 AISC, trang 562-571)
ISSN: 9783319490724
ISSN: 9783319490724
DOI: 10.1007/978-3-319-49073-1_60
Tài liệu thuộc danh mục: Scopus
Final
English
Từ khóa: Cellular neural networks; Field programmable gate arrays (FPGA); Flow of water; Partial differential equations; Viscous flow; CNN chips; Developing trend; Flowthrough; Functional variable; Narrow slot; Navier Stokes; Water flows; Navier Stokes equations
Tóm tắt tiếng anh
This paper presents a method of using Cellular Neural Network (CNN) for solving hydraulic Navier-Stokes equations, which are a set of three partial differential equations with 3 functional variables and each function has three variables for time and space. The paper has 5 parts: part 1 is the introduction; Part 2 discusses the Navier-Stokes for flow through narrow slots; Part 3 analyzes and finds templates for designing CNN architecture; Part 4 provides some solutions for optimizing resources and speeding up computing; Part 5 sets up CNN chip for implementing and computing results; the last part is conclusion and developing trends. � Springer International Publishing AG 2017.
