Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on accuracy and robustness of parameters inversion in probability integral method by genetic algorithm. For this, uniform design experimental method, subsidence prediction software and genetic algorithm program are used. Result shows that parameters in probability integral method can be retrieved precisely by genetic algorithm with relative errors of the retrieved parameters are less than 1.5%; retrieving parameters by genetic algorithm has a great applicability in different areas such as measuring errors, gross errors, loss of observation stations, etc.
['Jian_feng Zha', 'Wen Kai Feng', 'Xiao Jun Zhu', 'Li_qian Mi']
I am writing a research paper on a idea Analysis accuracy and robustness of parameters inversion in probability integral method by genetic algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Analysis accuracy and robustness of parameters inversion in probability integral method by genetic algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on accuracy and robustness of parameters inversion in probability integral method by genetic algorithm. For this, uniform design experimental method, subsidence prediction software and genetic algorithm program are used. Result shows that parameters in probability integral method can be retrieved precisely by genetic algorithm with relative errors of the retrieved parameters are less than 1.5%; retrieving parameters by genetic algorithm has a great applicability in different areas such as measuring errors, gross errors, loss of observation stations, etc."}]