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hyperbolic tangent sigmoid transfer function tansig  (MathWorks Inc)


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    MathWorks Inc hyperbolic tangent sigmoid transfer function tansig
    Hyperbolic Tangent Sigmoid Transfer Function Tansig, 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/tangent+sigmoid+(tansig)+transfer+function/pm34719763-43-81-80
    Average 90 stars, based on 1 article reviews
    hyperbolic tangent sigmoid transfer function tansig - by Bioz Stars, 2026-10
    90/100 stars

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    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: BNNmix: A new approach for predicting the mixture toxicity of multiple components based on the back-propagation neural network.
    Article Snippet: • A BNNmix procedure predicting the toxicity of multi-component mixture was built.. • Various seven-component mixtures have lethal toxicities on C. elegans at 24 h. • The mixture system is neither global CA additive nor global IA additive.. • The BNNmix can accurately predict the toxicity of various mixtures.

    Article Title: Morphology-based Prediction of Cancer Cell Migration Using an Artificial Neural Network and a Random Decision Forest
    Article Snippet: Hyperbolic tangent sigmoid transfer function (“tansig” in MATLAB) was used as the activation function for two hidden layers and linear transfer function (“purelin” in MATLAB) was used as the activation function for the output layer.

    Article Title: Variable selection and training set design for particle classification using a linear and a non-linear classifier
    Article Snippet: While particulate products are often characterized by their median diameter or the width of the particle size distribution, information is rarely given about the agglomeration degree of the product.. To obtain this information, a tool combining image analysis and discriminant factorial analysis (DFA) was introduced in previous works.. The accuracy of that method depended on the number of image descriptors selected, i.e. measurements describing each particle: few image descriptors resulted in rather poor classification while too many lead to an overfitting of the data.

    Activation Assay:

    Article Title: Determining the Rheological Parameters of Polymers Using Artificial Neural Networks
    Article Snippet: .. We used TANSIG (the hyperbolic tangent sigmoid transfer function) as an activation function in MATLAB. ..

    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.



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