Herbal drug raw materials differentiation by neural networks using non-metals content

Herbal drug raw materials differentiation by neural networks using non-metals content

Bibliographic Details
Main Authors:	Suchacz Bogdan, Wesolowski Marek
Format:	Article
Language:	English
Published:	De Gruyter 2010-12-01
Series:	Open Chemistry
Subjects:	herbal raw materials artificial neural networks multilayer perceptron radial basis function network non-metals
Online Access:	https://doi.org/10.2478/s11532-010-0105-0

Similar Items

The analysis of heavy metals content in herbal infusions
by: Suchacz Bogdan, et al.
Published: (2012-08-01)

Comparing performance of MLP and RBF neural network models for predicting South Africa’s energy consumption
by: Olanrewaju A. Oludolapo, et al.
Published: (2017-10-01)

Artificial Neural Networks for the Prediction of the Reference Evapotranspiration of the Peloponnese Peninsula, Greece
by: Stavroula Dimitriadou, et al.
Published: (2022-06-01)

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars
by: Renato Domiciano Silva Rosado, et al.
Published: (2020-12-01)

Comparison of Time Series Methods and Artificial Neural Networks In Reference Evapotranspiration Prediction (Case Study: Urmia)
by: Nasrin Azad Talatapeh, et al.
Published: (2016-01-01)

Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)
by: Meysam Alizamir, et al.
Published: (2017-07-01)

Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations
by: SK Safdar Hossain, et al.
Published: (2022-12-01)

The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness
by: Ibrahim Bahadir Basyigit, et al.
Published: (2019-09-01)

Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines
by: Reza Norouzi, et al.
Published: (2019-08-01)

Modeling of Phenol Extraction from Wastewater Using Intelligent Techniques
by: Mohsen Keshavarz Tork, et al.
Published: (2016-09-01)

Prediction of Force Measurements of a Microbend Sensor Based on an Artificial Neural Network
by: Kemal Fidanboylu, et al.
Published: (2009-09-01)

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines
by: Girosi, Federico, et al.
Published: (2004)

Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study
by: Ladislav Karrach, et al.
Published: (2023-09-01)

Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural Networks
by: Jarlyson Brunno Costa Souza, et al.
Published: (2022-06-01)

A Comparison of Artificial Neural Networks and Multiple Linear Regression Models As Predictors of Discard Rates In Plastic Injection Molding
by: Vesile Sinem Arıkan Kargı
Published: (2015-12-01)

A Comparison of Performance of Artificial Neural Networks for Prediction of Heavy Metals Concentration in Groundwater Resources of Toyserkan Plain
by: Meysam Alizamir, et al.
Published: (2017-06-01)

Face Recognition Methods Based on Feedforward Neural Networks, Principal Component Analysis and Self-Organizing Map
by: J. Pavlovicova, et al.
Published: (2007-04-01)

Advanced approach to numerical forecasting using artificial neural networks
by: Michael Štencl, et al.
Published: (2009-01-01)

Applied machine learning-based models for predicting the geomechanical parameters using logging data
by: Manouchehr Sanei, et al.
Published: (2023-08-01)

Error Concealment using Neural Networks for Block-Based Image Coding
by: M. Mokos, et al.
Published: (2006-06-01)

Prediction of Dispersed Phase Holdup in the Kühni Extraction Column Using a New Experimental Correlation and Artificial Neural Network
by: Mohsen Keshavarz, et al.
Published: (2019-10-01)

Artificial Neural Networks Predicted the Overall Survival and Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using a Pancancer Immune-Oncology Panel
by: Joaquim Carreras, et al.
Published: (2021-12-01)

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms
by: Maryam Ghasemi, et al.
Published: (2021-03-01)

The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner
by: Ufuk Çelik, et al.
Published: (2017-06-01)

Interval‐based features of auditory ERPs for diagnosis of early Alzheimer's disease
by: Neda Sabbaghi, et al.
Published: (2021-01-01)

Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT
by: Antonio Madueño Luna, et al.
Published: (2020-11-01)

Analysis of factors influencing recovery of low permeability and strong heterogeneous gas reservoirs and establishment of prediction model
by: Yi Zhao, et al.
Published: (2022-08-01)

Improving the classification accuracy using hybrid techniques
by: Mamdouh Abdel Alim Saad Mowafy, et al.
Published: (2021-07-01)

CONSTRUCTION COST PREDICTION USING NEURAL NETWORKS
by: Smita K Magdum, et al.
Published: (2017-10-01)

Real-time Neural Networks Implementation Proposal for Microcontrollers
by: Caio José B. V. Guimarães, et al.
Published: (2020-09-01)

Use of Neural Networks to Accommodate Seasonal Fluctuations When Equalizing Time Series for the CZK/RMB Exchange Rate
by: Zuzana Rowland, et al.
Published: (2020-12-01)

A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights
by: Inoussah Moungnutou Mfetoum, et al.
Published: (2024-02-01)

Design of Basin Irrigation System using Multilayer Perceptron and Radial Basic Function Methods
by: Abdulwahd Kassem, et al.
Published: (2023-05-01)

SAR image despeckling with a multilayer perceptron neural network
by: Xiao Tang, et al.
Published: (2019-03-01)

Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity
by: Meysam Dabiri-Atashbeyk, et al.
Published: (2018-01-01)

Modeling of Soil Compaction Beneath the Tractor Tire using Multilayer Perceptron Neural Networks
by: Gh Shahgholi, et al.
Published: (2018-03-01)

Using artificial neural networks to determine the location of wind farms. Miedzna district case study
by: Pokonieczny Krzysztof
Published: (2016-09-01)

An Artificial Neural Network Mechanism for Optimizing the Water Treatment Process and Desalination Process
by: Ahmed I. Taloba
Published: (2022-12-01)

Explanation of COVID-19 Mortality Using Artificial Neural Network Based on Underlying and Laboratory Risk Factors in Ilam, Iran
by: F Taghinezhad, et al.
Published: (2022-06-01)

Development of a neural network method for measuring the energy spectrum of a pulsed electron beam, based on Bremsstrahlung X-Ray
by: Mohsen Sohrabi, et al.
Published: (2021-01-01)