Main Article Content
The plan and acknowledgment of the Adaptive Neuro-Fuzzy Inference System (ANFIS) regulator dependent on Field Programmable Gate Array (FPGA) is introduced in this paper. The regulator is expected to control the temperature of the clinical broiler. An epic plan of computerized ANFIS is presented here for the user interaction. Various regulators are planned and their outcomes are contrasted utilizing MATLAB program to show the ANFIS prevalence. The planned regulators tried for cell society’s application at 37.5℃. A decrease is made for the planned computerized ANFIS because of the utilized FPGA limits. The decreased plan limits the used cuts from 366% to 3% and LUTs from 364% to 3%. The diminished plan arrived at an ideal size for this regulator to use a less memory size. An ongoing FPGA execution of the proposed advanced ANFIS have been done and checked through Xilinx ISE 14.6 utilizing the VHDL language. An examination between the reenactment and execution results is made. The coordination between these outcomes demonstrates the viability and vigor of the proposed computerized ANFIS and the magnificent exhibition of the FPGA based regulator.