Abstract :
Logic Analysis Method (LAM) always was realized with some n-Figures binary numbers, its FM (Figures´ Module) is the lowest in all FCN (Fixed Carrying Numbers), and all FCN are ones of special VCN (Variable Carrying Numbers). All Numbers´ Value of VCN is very fuzzy, because their VCR (Variable Carrying Rules) may be designed in Artificial Intelligence (AI). FPGA is a new material Programmable Logic Units in end of the 20th century, it was with some properties such that, large memory of capacities, short delays of time, improvement able & flexibilities etc. On the basis theory of Neural Fuzzy System of Networks (NFSN), this paper gives a novel logic analysis method with AI-Fuzzy VCR. The dynamic logic analysis algorithm takes a reusing technique of VCR path, a process of middle-data to be shaped & placed in RAM. In the deep research & analysis of logic testing, this analysis method is still practicable.
Keywords :
artificial intelligence; fuzzy neural nets; programmable logic devices; AI-fuzzy VCR; artificial intelligence; figures module; fixed carrying numbers; logic analysis method; n-figures binary numbers; neural fuzzy system of networks; programmable logic units; variable carrying numbers; variable carrying rules; Algorithm design and analysis; Artificial intelligence; Delay effects; Field programmable gate arrays; Fuzzy logic; Fuzzy systems; Heuristic algorithms; Programmable logic arrays; Programmable logic devices; Video recording; Artificial Intelligence (AI); Field Programmable Gate Array (FPGA); Fixed Carrying Numbers (FCN); Logic Analysis Method (LAM); Variable Carrying Numbers (VCN); Variable Carrying Rules (VCR);
