Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications
نویسندگان
چکیده
منابع مشابه
Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications
This paper presents an input-dependent neural network (IDNN) with variable parameters. The parameters of the neurons in the hidden nodes adapt to changes of the input environment, so that different test input sets separately distributed in a large domain can be tackled after training. Effectively, there are different individual neural networks for different sets of inputs. The proposed network ...
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ژورنال
عنوان ژورنال: Soft Computing
سال: 2007
ISSN: 1432-7643,1433-7479
DOI: 10.1007/s00500-007-0151-5