“artificial neural network”簡單造句，artificial neural network造句子

A handprinted Chinese character recognition method based on artificial neural network is presented in this paper.

An elementary discussion on city fire - risk evaluation by applying back - propagation algorithm of artificial neural network;

Application of artificial neural network in prediction for adding the powder of rubber waste and fly-ash to raise the cracking resistance properties of concrete

Application of artificial neural networks in HVAC systems

Anti-mechanical problems in the study of artificial neural network;

Evaluation of competitive performance of construction companies based on artificial neural network;

The models for predicting the recrystallized grain size and the recrystallization volume percent have been established with the artificial neural network.

Stator optimization using artificial neural network

Corrosion rate prediction model of carbon steel in regional soil based on BP artificial neural network

Analysis and simulation to the relation between rainfall and runoff in karst basin with artificial neural network model

Number character recognition based on BP artificial neural network

Based on the artificial neural network (ANN), an ANN model for the abrasive water jet cutting process was proposed.

In an example, based on the characteristics of structure, function, environment adaptability and feature of system service, a artificial neural network simulation system was established to evaluate the healthiness grade of Quercus liaotungensis forest ecological system in Dongling mountain.

The application research on risk evaluation of quality of reinforced concrete construction based on artificial neural network

Subsidence prediction model combining RS and ANN( artificial neural network) is estab1 ished.

Adaptive dynamic power management model based on artificial neural network

Research on marine diesel engine's state prediction based on series grey artificial neural network

Based on the aforementioned work, the relative displacement change in storeys of the frame( RDCSF) is extracted as the damage characteristic parameter, and the structural damage detection is also analyzed by combining the design of artificial neural network.

QoS routing based on artificial neural networks