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Mathematical and neural network modelling of terebinth fruit under fluidized bed drying
MLP moisture diffusivity drying rate
2015/7/2
The paper presents an application which uses Feed Forward Neural Networks (FFNNs) to model the non-linear behaviour
of the terebinth fruit drying. Mathematical models and Artificial Neural Networks ...
Identification and classification of bulk paddy, brown, and white rice cultivars with colour features extraction using image analysis and neural network
stepdisc analysis HSI HSV back propagation algorithm, bulk images
2014/7/10
We identify five rice cultivars by mean of developing an image processing algorithm. After preprocessing operations, 36 colour features in RGB, HSI, HSV spaces were extracted from the images. These 36...
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...
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 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...