transfer function purelin (MathWorks Inc)
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transfer function purelin
Transfer Function Purelin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/purelin+transfer+function/pm37259461-81-25-31
Average 90 stars, based on 1 article reviews
Transfer Function Purelin, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/purelin+transfer+function/pm37259461-81-25-31
Average 90 stars, based on 1 article reviews
transfer function purelin - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: Valorization of groundnut shell via pyrolysis: Product distribution, thermodynamic analysis, kinetic estimation, and artificial neural network modeling. Article Snippet: Pyrolysis of agricultural biomass is a promising technique for producing renewable energy and effectively managing solid waste.. In this study, groundnut shell (GNS) was processed at 500 C in an inert gas atmosphere with a gas flow rate and a heating rate of 10 mL/min and 10 C/min, respectively, in a custom-designed fluidized bed pyrolytic-reactor.. Under optimal operating conditions, the GNS-derived pyrolytic-oil yield was 62.8 wt.%, with the corresponding biochar (19.5 wt.%) and biogas yields (17.7 wt.%). Article Title: 12-Lead ECG interpretation by database comparison. Article Snippet: Background: Automated ECG interpretation is most often a rule-based expert system, though experts may disagree on the exact ECG criteria.. One method to automate ECG analysis while indirectly using varied sets of expert rules is to base the automated interpretation on similar ECGs that already have a physician interpretation.. The aim of this study is to develop and test an ECG interpretation algorithm based on such similar ECGs. Article Title: An efficient algorithm for architecture design of Bayesian neural network in structural model updating Article Snippet: Funding information National Natural Science Foundation of China, Grant/Award Numbers: 51778506, 51838006; China Scholarship Council, Grant/Award Number: 201806275091 Abstract There has been growing interest in applying the artificial neural network (ANN) approach in structural system identification and health monitoring.. The learning process of neural network can be more robust when presented in the Bayesian framework, and rational architecture of the Bayesian neural network is critical to its performance.. Apart from number of hidden neurons, the specific forms of the transfer functions in both hidden and output layers are also crucially important. Article Title: Literature review of models on tire-pavement interaction noise Article Snippet: Tire-pavement interaction noise (TPIN) becomes dominant at speeds above 40 km/h for passenger vehicles and 70 km/h for trucks.. Several models have been developed to describe and predict the TPIN.. However, these models do not fully reveal the physical mechanisms or predict TPIN accurately. Article Title: Comparing new perspective of hybrid approach and conventional kinetic modelling techniques of a submerged biofilm reactor performance Article Snippet: Accepted Manuscript Title: Comparing new perspective of hybrid approach and conventional kinetic modelling techniques of a submerged biofilm reactor performance Author: Salman Alizadeh Kordkandi Luigi Berardi PII: S1369-703X(15)30013-9 DOI: http://dx.doi.org/doi:10.1016/j.bej.2015.07.007 Reference: BEJ 6248 To appear in: Biochemical Engineering Journal Received date: 20-12-2014 Revised date: 23-6-2015 Accepted date: 6-7-2015 Please cite this article as: Salman Alizadeh Kordkandi, Luigi Berardi, Comparing new perspective of hybrid approach and conventional kinetic modelling techniques of a submerged biofilm reactor performance, Biochemical Engineering Journal http://dx.doi.org/10.1016/j.bej.2015.07.007 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Article Title: Profiling of Secondary Metabolites of Optimized Ripe Ajwa Date Pulp ( Phoenix dactylifera L.) Using Response Surface Methodology and Artificial Neural Network. Article Snippet: During development, the input layer was not triggered using the transfer function, but the output and hidden layers were activated using pure line (purelin) and Transformation Assay:Article Title: Optimization-based artificial neural networks to fit the isotherm models parameters of aqueous-phase adsorption systems. Article Snippet: An artificial neural network (ANN) hybrid structure was proposed that, unlike the standard ANN structure optimization, allows the fit of several adsorption curves simultaneously by indirectly minimizing the real output error.. To model a case study of 3-aminophenol adsorption phenomena onto avocado seed activated carbon, a hybrid ANN was applied to fit the parameters of the Langmuir and Sips isotherm models.. Network weights and biases were optimized with two different methods: particle swarm optimization (PSO) and genetic algorithm (GA), due to their good convergence in large-scale problems. Article Title: A new method of developing ANN-isotherm hybrid models for the determination of thermodynamic parameters in the adsorption of ions Ag+, Co2+ and Cu2+ onto zeolites ZSM-5, HY, and 4A Article Snippet: A new methodology for simultaneous parameter estimation of several adsorption curves through a hybrid ANNisotherm model is proposed.. For that, the ANN model was trained with 36 adsorption isotherm curves with three different adsorbates (Ag, Co2+, and Cu2+), three different adsorbents (zeolites ZSM-5, HY, and 4A), and four different temperatures.. Two ANN-isotherm hybrid models were created. |
