Optical splitting method based on neural network and broadband filter modulation
A technology of neural network and neural network model, which is applied in the direction of neural learning method, biological neural network model, analysis materials, etc., can solve the problems of filter transmittance change, lower calculation accuracy, and inability to solve accurately, so as to achieve small error, Spectral Accuracy, Optimizing and Maintaining the Effects of Neural Network Models
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[0030] refer to figure 1 , the spectroscopic principle of the present invention is that after the spectrum is modulated by a set of different filters, a set of data is detected by the detector array, and these detection data and the spectral data of the known light source are transmitted to the constructed neural network for further processing. Training, obtain the trained neural network model, use the detector array to detect the unknown light source to obtain the detection data of the unknown light source, pass it into the trained neural network model, and calculate the spectral data of the unknown light source, so as to realize spectral spectroscopy.
[0031] refer to figure 2 , the implementation steps of the present invention are as follows:
[0032] Step 1, design and manufacture the modulator as a filter, and assemble the detector matrix.
[0033] The filter produced in this step can be realized by applying quantum dot colloid technology, multi-layer film technology ...
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