چکیده مقاله
In this paper a newly developed clustered multi layer preceptron CMLP network is applied and compared to the Multi layer perceptron MLP network on the basis of its capacity for non linear modeling and on line adappapin this network has been tested with two simple applications:first whith a simple analytical model and secondly using machinig data acquired experimentally during on line training of the analytical model about 12 8% degradation of the data learned a priori was observed using the MLP compared with only 0 3% for the CMLP in the machining data case the information damage of previously learned model was observed 0 6% and 3 5% respectively during continuous adaptation of the CMLP and MLP networks
کلیدواژهها
نویسندگان
شیوه ارجاع
soleymani, mohammad reza,1382,adaptive control and optimization of the machining process:I;clustered neural network,06th Iranian Conference on Manufacturing Engineering,Tehran