Performance prediction modeling of andesite processing wastewater physicochemical treatment via artificial neural network

2020 ◽  
Vol 13 (19) ◽  
Author(s):  
Esra Yel ◽  
Vildan Onen ◽  
Gulay Tezel ◽  
Derya Yilmazturk
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Performance Prediction ◽  
Prediction Modeling ◽  
Physicochemical Treatment ◽  
Artificial Neural

Performance Prediction Using Fuzzy Mapping and Artificial Neural Network

2014 ◽  
Vol 539 ◽  
pp. 901-903
Author(s):  
Feng Yu ◽  
Yi Wu ◽  
Xian Ming Shao ◽  
Jian Chun Guo
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Performance Prediction ◽  
Fuzzy Neural Network ◽  
Good Precision ◽  
Fuzzy Mapping ◽  
Model Combining ◽  
Fuzzy Neural ◽  
Artificial Neural ◽  
Comparative Validation

This paper presents a fuzzy neural network model combining fuzzy mapping and artificial neural network for the prediction of sports results. The model for predicting track & field results of each individual event at the 27th Olympic Games is established. Through modeling and comparative validation it is shown that since 1950s the modeling of track & field results according to the sequence of number reflects the basic trends of the track & field result development with good precision.

The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis

2011 ◽  
Vol 101-102 ◽  
pp. 212-215
Author(s):  
Liang Yao Su ◽  
Xiang Sheng Li ◽  
Xiong Fei Yin ◽  
Xiao Yan Feng ◽  
Shang Wen Ruan
Keyword(s):  
Neural Network ◽  
Finite Element Analysis ◽  
Artificial Neural Network ◽  
Finite Element ◽  
Performance Prediction ◽  
Bp Algorithm ◽  
Prediction System ◽  
Element Analysis ◽  
The Finite Element Analysis ◽  
Artificial Neural

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the BP algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with BP artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction; meanwhile it can guide the bottle design in practical terms.

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