Name
Title | ||
|---|---|---|
Study of Artificial Neural Network Appraisal to Mine Coordination Development Ability |
Abstract | ||
|---|---|---|
The coordination development of mine was a complex nonlinear system, which included lots of factors. Based on analyzing the current methods for appraisal of coordination development of mine, an appraisal-index system was established. A neural network model with multi-hierarchic structure was built based on error back-propagation (BP) algorithm. This model could overcome many man-made factors with some advantages: lower rorrate; being of coordinatio development; convenient and reliable. The validity and accuracy of this method was proved by case study. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISIP.2008.117 | ISIP |
Keywords | Field | DocType |
goal programming,shipping cost,mine,error back-propagation algorithm,conventional transportation problem,backpropagation,multihierarchic structure,coordination development ability,mining,mine coordination development,back-propagation algorithm,fuzzy number,calculation formula,artificial neural network appraisal,appraisal,complex nonlinear system,neural nets,fuzzy equation,indexes,data mining,environmental economics,indexation,concrete,nonlinear system,artificial neural networks,mathematical model,error back propagation,artificial neural network,neural network model,neural networks,mathematics,information processing | Back propagation algorithm,Information processing,Nonlinear system,Computer science,Artificial intelligence,Backpropagation,Artificial neural network,Valuation (finance),Machine learning | Conference |
ISBN | Citations | PageRank |
978-0-7695-3151-9 | 0 | 0.34 |
References | Authors | |
2 | 1 | |