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 57 for “"activation function"”.
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Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function
… to slow convergence caused by sigmoid function. Thus, this research proposes Hyperbolic Tangent activation function (Tanh) to be used in the hidden layer of the ANN architecture to produce faster convergence. Back-propagation learning algorithm is applied to the multilayer neural …
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Evaluation of the smoothing activation function in neural networks for business applications
… the Softplus and Rectified Linear Unit (ReLU) activation functions were introduced in 2000 and 2001 respectively, with the latter emerging as the more popular choice of activation function in neural networks. Notably, the ReLU activation function maintains a high degree of gradient propagation …
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Autophagy: activation, function and regulation by a protein restricted diet during pregnancy and lactation
… the role that HDAC3 may play in the activation of LC3B and lipid accumulation will bring valuable insight into the epigenetic control of hepatic lipid accumulation by a LP diet during pregnancy and lactation in rat dams. In summary, our results demonstrate that protein restriction …
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Implementation of a New Sigmoid Function in Backpropagation Neural Networks.
<p>This thesis presents the use of a new sigmoid activation function in backpropagation artificial neural networks (ANNs). ANNs using conventional activation functions may generalize poorly when trained on a set which includes quirky, mislabeled, unbalanced, or otherwise complicated data. This new …
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The application of FEM technique to electromagnetic models for magnetic neural stimulation
… along the nerve fiber path 82V/82 called the "activation function". If two magnetic coils have the same outer diameter than the one with the larger inner diameter will induce the largest electric field and activation function. This result has direct clinical implications for modern commercial …
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A Comparison of Image Classification with Different Activation Functions in Balanced and Unbalanced Datasets
… on the network structure design but also on the activation function performance. To identify an optimal activation function, this study investigates the correlation between the activation function selection and image classification performance in balanced or imbalanced datasets. Our analysis …
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REGULARIZATION ON MACHINE LEARNING
… regularization method called Drop-Activation. At the training phase, we drop nonlinear activation functions randomly and set them to be identity functions. At the testing phase, a deterministic network with a new activation function is used and the new activation function is …
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Human Estrogen Receptor(alpha) Activity on Estrogen Responsive, Integrated Chloramphenicol Acetyltransferase (Cat) Reporter Constructs in Chinese Hamster Ovary (Cho) Cells
… containing only AF1 elicited a dose dependent activation of the 2ERETKCAT promoter. This represents the first report of activation of an integrated reporter gene by this activation function.
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A neural network computer model of the hydrodynamical flow in the River Medway estuary at its confluence with the River Thames
… overcome this difficulty, the standard bipolar activation function was replaced by a modified LeCun activation function. Subsequently, the neural networks were then re-trained and re-validated. Prior to applying the ANNs to the confluence of the rivers Thames and Medway, the networks were tested …
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Quantum recurrent neural networks for filtering
… to compute the time-varying probability densityfunction (pdf) for the measurements of the observed system. In this thesis, a filter isdesigned based on the principles of quantum mechanics where the schrodinger waveequation (SWE) plays the key part. This equation is transformed to fit into the …
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Constructive neural networks with applications to image compression and pattern recognition
… Third, a new constructive OHL-FNN at the functional level adaptation is developed. According to this scheme, each hidden unit uses a polynomial as its activation function that is different from those of the other units. This permits the growing network to employ different activation …
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Vision-based dynamical systems and learning
… such that guarantee optimality of the designed activation function are provided. Finally, some examples are provided to illustrate the methodology, where some state-of-the-art activation functions are derived analytically they rely solely on the visual information, that is, times-to-collision …
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Physics-informed Machine Learning for Digital Twins of Metal Additive Manufacturing
… provides a bagging procedure for acquisition function with a DGP surrogate model inferred via Stochastic Imputation (SI). For a fixed time budget, the proposed method gives 10% better quality for the LPBF process than the widely used BO method while being three times faster than the …
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Detailed Analysis of Transcriptional Regulation by Activation Functions-1 and -2 of the Human Estrogen Receptor
… be divided into separable domains with specific functions, such as ligand binding, dimerization, DNA binding, and transactivation. The ER contains two distinct activation domains that are involved in transcription activation. Activation function-1 (AF-1) is located in the amino-terminal A/B …
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Neural Decomposition of Time-Series Data for Effective Generalization
… Decomposition (ND). Units with a sinusoidal activation function are used to perform a Fourier-like decomposition of training samples into a sum of sinusoids, augmented by units with nonperiodic activation functions to capture linear trends and other nonperiodic components. We show how careful …
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Magnetic domain wall devices : from physics to system level application
… synaptic weight generator and the nonlinear activation function generator) for in-memory computing, in particular for artificial neural networks. Spin orbit torque driven magnetic tunnel junctions show great promise as energy efficient emerging nonvolatile logic and memory devices.
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In-the-loop training of a VLSI implementation of a smart sensor with low resolution programmable digital weights.
… reduced to low resolution weights due to malfunctioning circuits. The proposed training method is conceptually new and employs three distinct but interrelated parts that each required the development of new approaches. In the first part, a model of each neuron activation function in the …
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Studies in photonuclear reactions
… and the investigations of any 'structure' in the activation function should help to distinguish the more successful models. These measurements have not been made with sufficient accuracy to allow a critical assessment of the different models. However, for interactions involving discrete levels in …
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Studies in photonuclear reactions
… and the investigations of any 'structure' in the activation function should help to distinguish the more successful models. These measurements have not been made with sufficient accuracy to allow a critical assessment of the different models. However, for interactions involving discrete levels in …
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Phosphorylation of Glucocorticoid Receptor tau1c Transactivation Domain Enhances Binding to CREB Binding Protein (CBP) TAZ2 and a Microfluidic, High Throughput Protein Crystal Growth Method for Microgravity
… (GR) N-terminal domain (NTD) contains a transactivation domain (activation function 1; AF-1). Although GR AF-1 is phosphorylated, effects of GR phosphorylation upon AF-1 activity and cofactor recruitment are not clear. Most GR AF-1 activity is confined to an unstructured domain called tau1c …
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