Search Results - "Backpropagation learning algorithm"

Dynamic adaptation of the PID’s gains via Interval type-1 non-singleton type-2 fuzzy logic systems whose parameters are adapted using the backpropagation learning algorithm by Méndez, Gerardo M., Montes Dorantes, P. Noradino, Alcorta, M. Aracelia

“…This work presents a new design to dynamically adapt the proportional, the integral and the derivative (PID) controller’s gains using three interval type-1…”
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An optimized algorithm for recognition of complex patterns based on artificial neural network by Gurzynski, Pawel, Dlugosz, Rafal, Talaska, Tomasz, Swietlicka, Alexandra

“… The subject of the optimization process was the network sizes i.e. the number of neurons and the number of layers, as well as different learning parameters…”
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An Analysis of the Influence of Surface Roughness and Clearance on the Dynamic Behavior of Deep Groove Ball Bearings Using Artificial Neural Networks by Knežević, Ivan, Rackov, Milan, Kanović, Željko, Buljević, Anja, Antić, Aco, Tica, Milan, Živković, Aleksandar

“… The models are based on artificial neural networks. A feedforward multilayer perceptron (MLP) was applied, and a backpropagation learning algorithm was used…”
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Fusion of k-Gabor features from medio-lateral-oblique and craniocaudal view mammograms for improved breast cancer diagnosis by Sasikala, S, Ezhilarasi, M

“… Subjects and Methods: Mammograms from the digital database for screening mammography (DDSM) and INbreast datasets are collected…”
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On the control of automatic processes: a parallel distributed processing account of the Stroop effect by Cohen, J D, Dunbar, K, McClelland, J L

“… Yet recent empirical data suggest that automatic processes are continuous, and furthermore are subject to attentional control…”
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On the antiderivatives of [x.sup.p]/ with an application to optimize loss functions for classification with neural networks by Knoblauch, Andreas

“… by fitting the exponent q of a power function used for initializing the backpropagation learning algorithm…”
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Feature-Based Neural Network Approach for Oscillometric Blood Pressure Estimation by Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolic, M., Rajan, S.

“…) are then designed to estimate the systolic and diastolic BPs using these features. The FFNNs are trained using the resilient backpropagation learning algorithm…”
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Artificial Neural Network Model for Prediction of Students’ Success in Learning Programming

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Traditional Machine Learning-Based Classification of Cashew Kernels Using Colour Features by BAİTU, Geofrey Prudence, GADALLA, Omsalma Alsadig Adam, ÖZTEKİN, Y. Benal

“…Cashew is one of the major commercial commodities contributing to the national economy of Tanzania as foreign revenue. And yet still the processing of cashew…”
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Spiking Neural Network with Backpropagation Learning for Brain Visual Dynamics Decoding by Stauffer, Jake, Zhang, Qingxue

“… Focusing on the challenges on training this special network, in this study, we propose a backpropagation learning algorithm to backward propagate the learning loss to each layer of the spiking…”
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MODELING OF DIMENSIONAL CHANGES IN SOME IRON-BASED POWDER METALLURGY COMPACTS USING AN ARTIFICIAL NEURAL NETWORK by Marin, Florin Bogdan, Marin, Mihaela

“… The proposed model used is a multilayer neural network with a backpropagation learning algorithm…”
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Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models by Bal, Cagatay, Demircan, Serdar

“…Exchange rate forecasting is one of the most common subjects among the forecasting problem field…”
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Neurofuzzy modeling of chemical vapor deposition processes by Geisler, J.P., Lee, C.S.G., May, G.S.

“…The modeling of semiconductor manufacturing processes has been the subject of intensive research efforts for years. Physical-based (first-principle…”
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Authors' Writing Styles Based Authorship Identification System Using the Text Representation Vector by Benzebouchi, Nacer Eddine, Azizi, Nabiha, Hammami, Nacer Eddine, Schwab, Didier, Khelaifia, Mohammed Chiheb Eddine, Aldwairi, Monther

“…) is a standard research subject in text mining and natural language processing (NLP) that has undergone a remarkable evolution these last years…”
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Single-Trial Classification of Elementary Comparison Processes on the Basis of Instantaneous EEG and MEG Coherences by Steuer, Dunja, Grieszbach, Gert, Krause, Werner, Schack, Bärbel

“… A neural network classifier with backpropagation learning algorithm is used. The input vector is constructed by parameters of instantaneous coherence (13-20 Hz…”
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Computerized Classification of Normal and Abnormal Lung Sounds by Multivariate Linear Autoregressive Model by Martinez-Hernandez, H.G., Aljama-Corrales, C.T., Gonzalez-Camarena, R., Charleston-Villalobos VS, Chi-Lem, G.

“… The supervised neural network used the backpropagation learning algorithm based on the Levenberg-Marquardt rule…”
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A modified backpropagation algorithm for training neural networks on data with error bars by Gernoth, Klaus A., Clark, John W.

“…, introduces two simple modifications of the on-line backpropagation learning algorithm: 1. (i) The differential reliability of individual training patterns is taken…”
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Control of a loaded induction machine using a feedforward neural network by CHTOUROU, MOHAMED, DERBEL, NABIL, KAMOUN, MOHAMED BEN ALI

“… The neural controller is a feedforward neural network identified off-line. The backpropagation learning algorithm has been used for the off-line identification of the plant inverse neural model which provides the control action…”
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Neural networks and handwritten signature verification by Pender, Dorothy A

“…In this thesis, various neural networks are trained to detect true signatures of several subjects, and reject forgeries of these same signatures…”
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A learning algorithm for multilayer perceptron as classifier by Zhen Zhang, Weimin Shao, Hong Zhang

“… The typical backpropagation learning algorithm and its variations do not distinguish the training of an MLP as a pattern classifier from that of a general function estimator…”
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