Waveform evaluating apparatus using neural network
First Claim
1. A waveform evaluating apparatus using a neural network comprising:
- a plurality of neural network modules each being made up of at least an input layer, a hidden layer, and an output layer, connected in the neural network having the neural weight ratio;
first means for providing a first predetermined output value by inputting a first standard waveform to said neural network module, said first means including means for adjusting said neural weight ratio;
second means for providing a second predetermined output value by inputting a second standard waveform to said neural network module, said second means including means for adjusting said neural weight ratio, said first standard waveform being predeterminedly preferred to said second standard waveform;
means for producing a third output value in response to inputting an input waveform to said neural network, wherein said third output value'"'"'s closeness to said first and second predetermined output value is ascertainable; and
a signal extracting portion disposed in said input layer for extracting a signal which is in phase with the first standard waveform, wherein said signal extracting portion supplies the extracted signal to said input layer as an input waveform for said neural network;
wherein said signal extracting portion is formed of a phase detecting portion for detecting phasic information and a waveform slicing portion for performing waveform slicing using the phasic information detected by said phase detecting portion.
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Accused Products
Abstract
Disclosed is a waveform evaluating apparatus for evaluating and adjusting a waveform measured by a measurement apparatus such as a synchroscope and, more particularly, a waveform evaluating apparatus having a plurality of neural network modules formed independently for each object of judgment, in which the neural weight ratio of each neural network module is determined by causing the module to learn with a first ideal waveform module as an ideal signal and the like. Such an arrangement is also made, in which a signal in phase with the learned teacher signal extracted from the signal from an object of judgment signal is input to the input layer, and in which phasic information is detected in a phase detecting portion and a waveform is sliced in a waveform slicing portion on the basis of the phasic information. Further, such an arrangement is made, in which signal waveform data as an object of evaluation is input to the input layer and an analog output is output from the output layer. Therefore, waveform adjustments can also be achieved by causing the module to learn with a waveform to be adjusted.
27 Citations
2 Claims
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1. A waveform evaluating apparatus using a neural network comprising:
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a plurality of neural network modules each being made up of at least an input layer, a hidden layer, and an output layer, connected in the neural network having the neural weight ratio; first means for providing a first predetermined output value by inputting a first standard waveform to said neural network module, said first means including means for adjusting said neural weight ratio; second means for providing a second predetermined output value by inputting a second standard waveform to said neural network module, said second means including means for adjusting said neural weight ratio, said first standard waveform being predeterminedly preferred to said second standard waveform; means for producing a third output value in response to inputting an input waveform to said neural network, wherein said third output value'"'"'s closeness to said first and second predetermined output value is ascertainable; and a signal extracting portion disposed in said input layer for extracting a signal which is in phase with the first standard waveform, wherein said signal extracting portion supplies the extracted signal to said input layer as an input waveform for said neural network; wherein said signal extracting portion is formed of a phase detecting portion for detecting phasic information and a waveform slicing portion for performing waveform slicing using the phasic information detected by said phase detecting portion. - View Dependent Claims (2)
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Specification