Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A scaled recurrent neural network (RNN) model is developed which accurately predicts the force response from the indentation of a non-uniform soft tissue sample. The model consists of two components. The RNN is used to predict the force response of indentation using data from a reference tissue sample. A two-parameter component then scales the neural networks predictions relative to previously determined properties of the test sample. This component is based on a strain inverse model of force, which is used to account for the non-uniformity of the tissue beten the test and reference data. Experimental force measurements re performed on a highly non-uniform soft tissue analogue to develop and validate the model. Using the visco-elastic Hunt-Crossley model as a benchmark, the developed model provides significantly better prediction. Future research will investigate applying this model to surgical simulations and verifying its application to different biological tissues.
['Rohan Nowell', 'Bijan Shirinzadeh', 'Julian A. Smith', 'Yongmin Zhong']
I am writing a research paper on a idea Modelling the indentation force response of non-uniform soft tissue using a recurrent neural network
[{"from": "human", "value": "I am writing a research paper on a idea Modelling the indentation force response of non-uniform soft tissue using a recurrent neural network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A scaled recurrent neural network (RNN) model is developed which accurately predicts the force response from the indentation of a non-uniform soft tissue sample. The model consists of two components. The RNN is used to predict the force response of indentation using data from a reference tissue sample. A two-parameter component then scales the neural networks predictions relative to previously determined properties of the test sample. This component is based on a strain inverse model of force, which is used to account for the non-uniformity of the tissue beten the test and reference data. Experimental force measurements re performed on a highly non-uniform soft tissue analogue to develop and validate the model. Using the visco-elastic Hunt-Crossley model as a benchmark, the developed model provides significantly better prediction. Future research will investigate applying this model to surgical simulations and verifying its application to different biological tissues."}]