Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 186 for “"MLP"”.
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Climate Crisis in Our Closets: Sustainability Transition of Fast Fashion Using MLP Analysis
Innovations in production and retail methods have propelled the fashion industry's explosive growth, with complex global supply chains that pose serious environmental and social issues. Despite increased awareness and multiple attempts toward sustainability, the industry is still trapped in an …
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Deep CNN and MLP-based vision systems for algae detection in automatic inspection of underwater pipelines
… networks, such as the multilayer perceptron (MLP), have been increasingly employed in various applications. Recently, deep neural networks, specially convolutional neural networks (CNN), have received considerable attention due to their ability to extract and represent high-level abstractions …
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Nukleäre Funktionen des Muscle LIM Proteins in der Herzmuskelhypertrophie
… vornehmlich als Zytoskelett-Protein bekannten MLP beobachtet. In der vorliegenden Arbeit wurde die Lokalisation sowie die Expression von MLP nach Koronarligatur als einem Modell für den Myokardinfarkt untersucht. Es konnte erstmals auch in diesem Modell eine vermehrt nukleäre Lokalisation von …
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Identification of shift variation in bivariate process using pattern recognition technique
… Statistical Features-Multilayer Perceptron (SF-MLP) and (ii) Integrated Multivariate Exponentially Weighted Moving Average-Multilayer Perceptron (MEWMA-MLP). Input representation for the MLP recogniser in both schemes was designed based on summary statistical features and it was systematically …
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Wind Turbine Parameter Calibration Using Deep Learning Approaches
… seeks to design a multilayer perceptron (MLP) that can accurately predict the inertia and damping coefficients using the power data from a turbine during a transient state. To do this, a model of a wind turbine was built in Matlab, and a simulation of a three-phase fault was used to …
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Myosin-Like Proteins in S. cerevisiae: Multifunctional, Structural Components of the Nuclear Envelope
… The two yeast homologs of Tpr are termed Mlp1p and Mlp2p. The Mlp proteins also attach to the nuclear face of the NPC and form a layer underneath the NE. For my thesis work I examined the structure and function of the Mlp proteins. A proteomic study of Mlp associated complexes revealed …
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Strukturen der Kraftübertragung im quergestreiften Muskel : Protein-Protein-Wechselwirkungen und Regulationsmechanismen
… einem zweiten Protein, dem muscle LIM protein (MLP), untersucht. Es konnte gezeigt werden, dass ein mutiertes MLP-Protein, das im Menschen eine hypertrophe Kardiomyopathie (HCM) auslöst, strukturelle Defekte aufweist und weniger stabil ist. Weiterhin zeigte dieses mutierte Protein eine …
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Intelligent Neural Network Control System Design and FPGA Based Implementation
… in place of traditional multi-layer perceptron (MLP) is investigated. The objectives were to (i) verify the feasibility of SMN based control systems, (ii) quantitatively compare the performance of SMN and MLP based systems, (iii) determine the amount of computation that could be saved by using …
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Quantifying phytoplankton biomass and sediment in river plumes along the Agulhas Bank using remotely sensed data with deep learning techniques
… learning neural network (Multi-Layer Perceptron; MLP) model for retrieving TSM and [Chl-a] was developed and evaluated in the context of its application to Sentinel-3 satellite data. The MLP model is trained on a synthetic dataset of Rrs parameterised using the in situ ranges of TSM and [Chl-a]. …
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Nonlinear Controller Design and Implementation for a Magnetic Levitation System
… Two neural networks, the multi-layer perceptron (MLP) and the single multiplicative neuron (SMN), are investigated in this work. A novel form of ANN, namely, single multiplicative neuron (SMN), is proposed in place of the more traditional multi-layer perceptron (MLP). SMN derives its name from the …
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
… namely the widely used Multilayer Perceptron (MLP). Here, three improved learning approaches inspired by artificial honey bee's behavior are used to train MLP. They are: Global Guided Artificial Bee Colony (GGABC), Improved Gbest Guided Artificial Bee Colony (IGGABC) and Artificial Smart Bee …
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An improved multilayer perceptron based on wavelet approach for physical time series prediction
… Approach for Physical Time Series Prediction (W�MLP) to overcome such drawbacks of ordinary NN. W-MLP, a network model with a wavelet technique added in the network, is trained using the standard backpropagation gradient descent algorithm and tested with historical temperature, evaporation, …
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DEVELOPMENT AND APPLICATIONS OF MACHINE/DEEP LEARNING TECHNIQUES IN FLUID DYNAMICS
… Firstly, the conventional multilayer perceptron (MLP) networks are enhanced by the Gaussian radial basis function (RBF) with trainable centers and widths. Activated by Gaussian RBFs, the proposed MLP-RBF network is more accurate and efficient in nonlinear regression problems. Secondly, in view of …
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Efficient memory-level parallelism extraction with decoupled strands
… exploits intra-thread memory-level parallelism (MLP) to improve performance efficiency on highly threaded workloads. Outrider enables a single thread of execution to be presented to the architecture as multiple decoupled instruction streams, consisting of either memory accessing or memory …
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Application of neural network techniques for modeling of blast furnace parameters
… Basicity, RDI, and +10 are all modeled using the MLP networks. Different solutions are proposed for preprocessing the original data and finding the most relevant input variables. The NNRUN software is used to find the best MLP neural network. Finally, methods to control the output variables in the …
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Anomaly detection in semiconductor manufacturing through time series forecasting using neural networks
… Moving Average (ARIMA), Multi-Layer Perceptron (MLP) and Long Short Term Memory (LSTM). ARIMA is a statistical model while MLP and LSTM are neural network models. The results from the control experiment, under supervised training, shows the validity of MLP and LSTM in detecting anomalies through …
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Evaluating Modern Neural Network Architectures for Suicide Prediction
… the capabilities of Multi-Layer Perceptron (MLP) and a selection of its successors, ResNet and MLP with a category embedding layer, at the task of predicting suicidal ideation among high-school students. This research finds ResNet to be the most capable at minimizing false negatives, but with …
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Develop innovative methodology to optimally fill in missing values and predict progression on multiple sclerosis
… Random Forest (RF), and Multilayer Perceptron (MLP), are evaluated for imputation efficiency. RF and MLP perform best, achieving overall accuracies of 92% and 91.5%, respectively, in handling missing data more accurately than other models. Given the effectiveness of RF and MLP in capturing …
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Forecasting and modelling the VIX using Neural Networks
… on the performance of Multi-layer Perceptron (MLP) and the Long Short Term (LSTM) Neural Networks in predicting the CBOE Volatility Index (VIX). The inputs into these models includes the VIX, GARCH(1,1) fitted values and various financial and macroeconomic explanatory variables, such as the S&P …
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