tailieunhanh - Artificial Neural Networks Industrial and Control Engineering Applications Part 11

Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 11', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | A Comparison of Speed-Feed Fuzzy Intelligent System and ANN for Machinability Data Selection of CNC Machines 339 p VSLO SLO M MFA FA VFA 0 02 03 1 Feed Fig. 6. Feed membership function BHN 85-175 HSS Fig. 7. Feed membership function BHN 175-275 HSS fl VSLO SLO M MFA FA VFA 0 02 03 1 Feed Fig. 8. Feed membership function for carbide tool Fuzzy rules The point of fuzzy logic is to map an input space to an output space and the primary mechanism for doing this is a set of IF-THEN rules with the application of fuzzy operator AND or OR. These if-then rules are used to formulate the conditional statements that comprise fuzzy logic. By using the rules then the fuzzy inference system FIS formulates the mapping form. Mamdani s fuzzy inference system which is used in this work is the most commonly seen fuzzy methodology The MathWorks Inc. 2009 . The relationship between the input variables and output variables is characterized by if-then rules defined based on experimental expert and engineering knowledge Yilmaz et al. 2006 . The two common methods for the FIS engine are Max-Min method and Max-Product method. The difference between them is the aggregation of the rules. The first use truncation and the last use multiplication of the output 340 Artificial Neural Networks - Industrial and Control Engineering Applications fuzzy set. Both methods are tested and the Max-Min method gives more accurate results therefore it is used in all calculations in the fuzzy system. In this study there are two input variables hardness and depth of cut each of six fuzzy sets and then the fuzzy system of a minimum of 6 x 6 36 rules can be defined. Table 3 shows a part of the rules in linguistic form. By using these rules the input-output variables in a network representation can be drawn as in Figs. 9 and 10. Rule 1 IF hardness is very soft AND depth of cut is very shallow THEN speed is very high and feed is very slow. Rule 2 IF hardness

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