Designing template is the most important stage for design and make CNN chip that gives mathematical logic architecture basing on each problem. CNN researchers have many methods to design template corresponding to solutions. This paper review some ways which is used commonly in solving PDE using CNN. The paper has 3 parts, part 1 introduction CNN technology; next part introduces some common ways to design template; part 3 give some illustrations and the last is conclusion and future trends. | Vũ Đức Thái và Đtg Tạp chí KHOA HỌC & CÔNG NGHỆ 116 (02): 3 - 8 DESIGN TEMPLATE IN CELLULAR NEURAL NETWORK Vu Duc Thai1*, Sonxay Phanthavong2 1 College of Information and Communication Technology - TNU Ha Noi-Vieng Chan Friendship Vocational School – PDR Lao 2 SUMMARY Designing template is the most important stage for design and make CNN chip that gives mathematical logic architecture basing on each problem. CNN researchers have many methods to design template corresponding to solutions. This paper review some ways which is used commonly in solving PDE using CNN. The paper has 3 parts, part 1 introduction CNN technology; next part introduces some common ways to design template; part 3 give some illustrations and the last is conclusion and future trends. Keywords: Template Design, Partial Differential Equation, Cellular Neural Network, Lyapunov Function, Taylor Expansion INTRODUCTION* The theory of CNN has been proposed by . Chua an L. Yang in 1988 and developed to hardware architecture on CNN Universal Machine (CNN-UM) by . Chua and R. Tamas [1,2]. The CNN is the physical paralleled computing with array of processor called cell. Depending on particular problem, the numbers of cell can expand from 10,000 to 100,000 cells. CNN is applied in many fields like image processing; scientific computing; robot and economic at high speed processing. From 1988, many researchers have been developed the CNN in theory and application as prof the stability and condition constrains for CNN chip. The International Conferences of CNN applicationare organized every two years. The 13th CNNA was organized from 29-31 August, at Turin, Italy with topics like: Theoretical advances of CNNs; Sensory integration; New spatial-temporal algorithms; Biological relevance of CNNs; Applications on FPGAs and GPUs; Emerging new Cellular Wave Computing Technologies. In Vietnam, there are some groups in IT Institute- Vietnam Academy of Science and Technology; Hanoi National .
