For sensor distribution of wireless sensor networks, a neural network fault-tolerant control strategy is proposed: first the control law in various fault conditions is designed using the method of system reconstruction, and then the control law features is learned based a neural network. After learning, the neural network as a controller system can be controlled. Simulation results show that: neural network controller can replace the original controller system, and for an unknown fault in the system, it can have the same fault tolerant.