Method and apparatus for checking input-output characteristic of neural network
AssigneesToyoda Koki Kabushiki Kaisha, Yukinori Kakazu
InventorsYukinori Kakazu, Takao Yoneda, Tomonari Kato, Kazuya Hattori
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AssigneesToyoda Koki Kabushiki Kaisha, Yukinori Kakazu
InventorsYukinori Kakazu, Takao Yoneda, Tomonari Kato, Kazuya Hattori
Estimating the term…
An apparatus for checking the input-output characteristic of a neural network which has an input layer, an intermediate layer and an output layer. Plural nodes of the input layer are related to plural nodes of the intermediate layer with plural connection weights while the plural nodes of the intermediate layer are also related to plural nodes of the output layer with plural connection weights. One of the nodes of the input layer is selected as a variable input element while the rest of the nodes are regarded as fixed input elements. A variable data input to the variable input element is varied within a predetermined variation range, while data input to the fixed input elements are fixed, so as to detect how the components of output data from the output layer change. The detected changes of the components of the output data are displayed as the input-output characteristic of the neural network.
A method of checking an input-output characteristic of a neural network comprising an input layer composed of plural input nodes and an output layer composed of at least one output node, said method comprising the steps of:
An apparatus for checking an input-output characteristic of a neural network comprising an input layer having plural input nodes and an output layer having one output node, said apparatus comprising:
A method of checking an input-output characteristic of a neural network comprising an input layer composed of plural input nodes and an output layer composed of at least one output node, said method comprising the steps of:
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