Abstract
The principle of radiotherpy treatment planning is that adequate coverage of the target in the treatment of soft-tissue sarcomas designed,and minimizing the harm on the normal tissue.However,this problem is disturbing the researchers of the regular radiotherpy treatment planning.More resonable plan is searching the best parameters from the prescription dose of surgeoncy.Many researcher make the treatment planning as a optimization problem.
Optimization is altering parameters through physical or geometry method, aquiring the best dose distribution on the target, meanwhile,minimizing the resource on the normal tissue.
Artifitial neural network is the research hot point for recent years. Because of its advantages of conduction together,omiting mistakes,self-organazation and self-thinking,it has been a tool to solve many problems.Also,it plays a important role in many complex problems.The optimization algorithm of neural network is using cooperating algorithm of neural network to complete the optimization,which combine the real problem with a training course of neural network.
This paper focuses on optimization algorithm of neural network,especially on BP neural network and RBF neural network .Researching the two methods are used in the optimization of radiotherpy treatment planning.
Key words: radiotherpy treatment planning,optimization algorithm,BP neural network,RBF neural network