Intelligent Modeling And Measuring of The Cancer Issue Temperature Based on RBF Neural Network

Part perfusion hyperthermia is an effective approach to tumor curing through which the tumor cells are killed by the high temperature, which is created by medicament perfuse to the pathological change area. Since the human body is a complicated system of heat exchange. It is difficult to obtain its accurate mathematic model and accurately measure the temperature of cancer tissue applying the conventional method. The paper proposed a novel intelligent modeling and measuring scheme based on RBF neural network, which can conduct the accurate measurement of the temperature of cancer tissue. The neural network model is designed and the training algorithm with high-precision of learning is formulated based on neural networks techniques. Compared with the conventional scheme, the proposed intelligent scheme has the following advantage: good robustness and adaptive ability for different cancer tissues, simple implementation and high-precision. A lot of numerical simulations have been conducted, and simulation results have shown that the method is feasible and efficient.