That is to say,input of Neural Network is function of time,so conventional neurons are reconstructed temporal neurons.

The paper applied neural network to the research of wood drying control, established time-delay neural network schedule model useful to wood moisture content prediction, gave the identification structure of time-delay neural network and used practical drying data of three species to train and test the networks.

Based on the analysis of time-delay neural network and making use of the prior knowledge of character of discrete event dynamic system of military communication network, the uncertain time-delay neural network was put forward.

As a new data forecasting model,the double BP neural network combined model based on regressive neural network and time-delay neural network was proposed, which has the advantages of nonlinear combined forecasting methods.

By using the principle of various spatial curve classification and using time-delay neural network,the time-delay neural network can distinguishthe little circuit response difference caused by the soft fault and can classify the circuit response properly within the circuit part s tolerance,so the network can be used in diagnosis of the of analog circuitsoft fault.

The ability of neural networks to deal with time dynamic signal was improved with a new neural network architecture specializing in syllable recognition based on the time delay neural network (TDNN) and the convolutional neural network.