A fast learning method using cost matrices for morphological neural networks
نویسنده
چکیده
A fast learning method for morphological neural networks which are formulated based on max plus algebra, is proposed. The proposed fast learning method is deduced from the idempotent properties of max plus algebra and cost matrices. Through experiments using artificial training data sets, it is conformed that the computation time of the proposed method is decreased into 60.9-68.6% and 40.9 – 48.3% of that of the conventional one, under the condition that the number of middle layer nodes is 4 and 8, respectively.
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