To solve the deficiency of time-lag effect and time cumulative effect in traditional artificial neural networks during dealing with input and output,the unit impulse response function of system theory is brought into neural network model,and a new type of neuron model named impulse response neuron is established.

By using finite impulse response neural network(FIRNN) to predict the system s output,energy functions and assessment tactics are designed.

and Magee JC\'s electrophysiology experiments,a biology plausible spiking neuron model for theta phase precession was proposed.

Efficiency-based impulse response analysis between industrial output and wastewater effluent;

Mechanism research of jamming point detection in oil pipelines based on impulse response;

Damage diagnosis of structures based on singular spectrum entropy and impulse response;

Experimental study on pulse responses of an MR elastomer damper-rotor system;

Analysis of influencing factors for impulse responses speed of HDS1 signal pulser;

Identifying the Pulse Response of Control System with a Method of Correlative Analysis;