Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a Bayesian framework,  give a principled account of how domain-specific prior knowledge such as imperfect analytic domain theories can be optimally incorporated into networks of locally-tuned units: by choosing a specific architecture and by applying a specific training regimen. Our method proved successful in overcoming the data deficiency problem in a large-scale application to devise a neural control for a hot line rolling mill. It achieves in this application significantly higher accuracy than optimally-tuned standard algorithms such as sigmoidal backpropagation, and outperforms the state-of-the-art solution.
['Martin Röscheisen', 'Reimar Hofmann', 'Volker Tresp']
I am writing a research paper on a idea Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency
[{"from": "human", "value": "I am writing a research paper on a idea Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a Bayesian framework,  give a principled account of how domain-specific prior knowledge such as imperfect analytic domain theories can be optimally incorporated into networks of locally-tuned units: by choosing a specific architecture and by applying a specific training regimen. Our method proved successful in overcoming the data deficiency problem in a large-scale application to devise a neural control for a hot line rolling mill. It achieves in this application significantly higher accuracy than optimally-tuned standard algorithms such as sigmoidal backpropagation, and outperforms the state-of-the-art solution."}]