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Abstract: The
principle of position sensitive detector(PSD) is briefly introduced. The
causes of non-1inearity of PSD are analyzed. Through defining network
average error as objective function, weights and thresholds as design
variable, network parameters are computed quickly by gradient and
conjugate gradient optimizations. Conjugate gradient optimum algorithm
for neural network to correct the non-linearity of PSD after
pre-calibration are provided．This method is applied to linearity of PSD.
The correction leads to prominent improvement of linearity of B-area, and
the usable area of PSD is thus extended, The reliability of data is also
improved without increasing the complexity of hardware.
Key words: Position
sensitive detector Neural network Correction of non-1inearity
Conjugate gradient optimum algorithm
CLC No: TN15
国家自然科学基金(50174020)和辽宁省博士起动基金(2001102029)资助项目.
Received 40202, received in revised form 20040302
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