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Statistical characterization of some electrical and mechanical phenomena by a neural probability density function estimation techniqueThe present paper concerns the estimation of probability density func-tions using the particular parameterized class of distribution functions implemented by a single non-linear neuron, introduced in the previous contribution [12]....
général - core.ac.uk - PDF: www.deit.univpm.it
Adaptive linear neuron in visible and near infrared spectroscopic analysis: predictive model and variable selection... Thisstudy evaluated the feasibility of adaptive linear neuron (Adaline) to be implemented as a variable selection approach toidentify effective NIR wavelengths that can be used to predict the soil organic matter (SOM) so that...
 PDF: core.ac.uk
Simplified adaptive linear neuron harmonics extraction algorithm for dynamic performance of shunt active power filterThis paper presents a single-phase shunt active power filter with artificial intelligence based algorithms by introducing a new Simplified Adaptive Linear Neuron (ADALINE) algorithm for harmonics extraction....
Bootstrapping adaptive linear neuron in near infrared spectroscopic analysis... Thus, this study proposes the bootstrapping adaptive linear neuron (Adaline) that adapts the philosophy of bootstrapping aggregation approach....
Prediction of soluble solid content in pineapple using adaptive linear neuron... Adaptive Linear Neuron (ADALINE) that uses a single layer network was proposed for modelling and variable selection in spectroscopic analysis....

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