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A high-precision method evaluating color quality of Sichuan Dark Tea based on colorimeter combined with multi-layer perceptron
high-precision method evaluating color Sichuan Dark Tea colorimeter multi-layer perceptron
2024/7/30
Instrumental examination of Sichuan Dark Tea (SDT) quality instead of human panel sensory evaluation is important for quality control. This study attempted to create a high-precision method to rapidly...
COMPARATIVE RESEARCHES ON PROBABILISTIC NEURAL NETWORKS AND MULTI-LAYER PERCEPTRON NETWORKS FOR REMOTE SENSING IMAGE SEGMENTATION
Remote sensing Segmentation Probabilistic Neural Networks (PNNs) Multi-Layer Perception Networks (MLPNs)
2016/3/17
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...
Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed
Sediment Load Neural Network MLP RBF Hulu Langat Watershed
2013/3/19
Prediction of highly non-linear behavior of suspended sediment flow in rivers has prime importance in environmental studies and watershed management. In this study, the predictive performance of two A...
Evaluation of 1-D tracer concentration profile in a small river by means of Multi-Layer Perceptron Neural Networks
1-D tracer concentration profile small river Multi-Layer Perceptron Neural Networks
2009/5/13
The prediction of temporal concentration profiles of a transported pollutant in a river is still a subject of ongoing research efforts worldwide. The present paper is aimed at studying the possibility...