A least square solution method of a time-varying overdetermined linear equation group
A technology of linear equations and least squares, applied in complex mathematical operations, etc., can solve problems such as inefficiency, accuracy and stability, and achieve the effects of good practicability, strong robustness, and fast convergence speed
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[0040] This embodiment provides a method for solving the least squares solution of time-varying overdetermined linear equations, the process of the method is as follows figure 1 shown, including the following steps:
[0041] 1) Convert time-varying overdetermined linear equations into time-varying matrix equations;
[0042] 2) the time-varying matrix equation of step 1) is converted into corresponding normal equations;
[0043] 3) provide the error monitoring function of the normal equations of step 2), and convert the solution of the normal equations into the optimization problem;
[0044] 4) According to the neurodynamic design method, the neurodynamic design of the corresponding strain parameters is given;
[0045] 5) Substituting the error monitoring function in step 3), transforming the variable parameter neural dynamics design obtained in step 4) into a variable parameter convergent differential neural network solver, and solving the optimization problem in step 3).
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