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Application of Artificial Neural Network Technology in Water Color Remote Sensing Inversion of Inland Water Body Using Tm Data
Artificial Neural Network Model Water Color Remote Sensing Extraction Lake Landsat Image
2015/7/8
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial
resolution. However, the precision of water color remote sens...
Effect of moisture content on thermodynamic characteristics of grape: mathematical and artificial neural network modelling
sorption thermodynamic drying, neural network grape
2014/2/25
Artificial neural networks (ANNs) and four empirical mathematical models, namely Henderson, GAB, Halsey, and Oswin were used for the estimation of equilibrium moisture content (EMC) of the dried grape...
A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform
Lung segmentation complex wavelet transform complex-valued artificial neural network
2010/10/12
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...
Comparative Study of Response Surface Methodology, Artificial Neural Network and Genetic Algorithms for Optimization of Soybean Hydration
response surface methodology (RSM) artificial neural network (ANN) genetic algorithms (GA) soybean soaking
2010/8/11
The present investigation deals with the modelling and optimization of soybean hydration for facilitating soybean processing and it focuses on maximization of mass gain, water uptake and protein reten...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
2010/10/12
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
Verification of filter efficiency of horizontal roughing filter by Weglin's design criteria and Artificial Neural Network
filter efficiency horizontal roughing filter Weglin's design criteria Artificial Neural Network
2010/9/20
The general objective of this study is to estimate the performance of the Horizontal Roughing Filter (HRF) by using Weglin's design criteria based on 1/3–2/3 filter theory. The main objective of the p...
Artificial Neural Network for Production of Antioxidant Peptides Derived from Bighead Carp Muscles with Alcalase
antioxidant peptides artificial neural network (ANN) bighead carp
2009/3/10
Controlled enzymatic modification proteins are currently being used as good sources of bioactive protein ingredients, and hydrolysates derived from bighead carp muscles may serve as antioxidants throu...
Prediction of the kind of sprouts of Cruciferae family based on artificial neural network analysis
artificial neural network sensitivity analysis cruciferous sprout classification bioactive compounds
2014/3/4
The aim of this work was to show that artificial neural networks (ANNs) are a convenient tool for predicting the kind of sprouts originated from Cruciferae family. For this purpose, the known contents...