Title :
A Novel FPGA Control Process with AI-Fuzzy VCR Algorithm
Author_Institution :
Dept. of Math. & Comput. Sci. Eng., Wuyi Univ., Wuyishan, China
Abstract :
FPGA(Field Programmable Gate Array) was a new material programmable logic units in 20th century, it owned some properties such as that, large memory of capacities, short delays of time, improvement able and flexibilities etc. VCR (Variable Carrying Rules) is a novel numbers´ computation rules of which developing from FCR (Fixed Carrying Rules) in number theory. Using the basis theory of both neural fuzzy systems of networks and VCR computation rules, this paper gives a novel FPGA control process with AI-Fuzzy VCN (IFN) algorithm. The IFN algorithm takes a partial reusing technique of VCR path and computational rules of numbers, specially, the process of middle-data to be shaped and placed in dynamic RAM. In the deep theoretical researches & typical analysis of testing, this process of algorithm is practicable very much indeed.
Keywords :
artificial intelligence; field programmable gate arrays; fuzzy set theory; neural nets; number theory; AI-Fuzzy VCR Algorithm; FPGA control process; fixed carrying rules; neural fuzzy systems; number theory; programmable logic units; variable carrying rules; Artificial intelligence; Computers; Field programmable gate arrays; Heuristic algorithms; Logic gates; Random access memory; Video recording; AI (Artificial Intelligence); FPGA (Field Programmable Gate Array); IFN (AI-Fuzzy VCN); NFNS (Neural Fuzzy Networks System); VCR (Variable Carrying Rules);
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.53