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 8 of 8 for “"Neuron network"”.
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Dynamics of adaptive recurrent neural networks
… a simple, phenomenological model of a neural network with plasticity is presented in the form of a slow-fast adaptive dynamical recurrent neural network. The plasticity rule is chosen from the class of Hebbian learning rules, in which the synaptic connection between two neurons evolves …
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Improvement of Decision on Coding Unit Split Mode and Intra-Picture Prediction by Machine Learning
… were tuned for the model in our convolution neuron network. The coding tree unit mode decision time produced in the model was compared with that produced in HM software, and it was proved to have improved significantly. The intra-picture prediction mode decision was also investigated with …
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Bifurcations in discrete-time neural networks : controlling complex network behaviour with inputs
… dynamical behaviour in small recurrent neural networks, which already exhibit a rich repertoire of complex dynamical behaviour. Consequently the question arises, how this repertoire of dynamical behaviour can be controlled and particularly which parameter sets cause a specific dynamics. The …
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Experimental and Prediction Approaches to Determine Dissociation Constants (pKa) of Amines
… predicted based on the feedforward artificial neuron network (ANN) with the backpropagation algorithm. Eight parameters were used as the input data, and these parameters were divided into two categories: (a) molecular weight, critical pressure and critical pressure as inputs that were used to …
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Travelling waves modulated by resonant currents in laterally-inhibited grids of leaky integrate-and-fire neurons
… salient and analytically tractable dynamic of networks of neurons. They have been observed experimentally across the whole brain as well as at smaller scales, linked to functions as diverse as visual processing, motor coordination, and situating oneself in space. The simple analytical …
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Fault Identification of UPFC-Compensated Transmission Lines in Complex Microgrids Using an Intelligent Relaying Scheme Based on Discrete Wavelet Transform and ANN Classifier
… (DWT) for feature extraction and artificial neuron network (ANN) for feature classification of fault currents. The main objectives are automatic detection and identification of fault type with the best accuracy, reliability, and reduced computational complexity. Furthermore, to analyze the …
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Genetic Circadian Mosaics and the Clock Network’s Contributions to Sleep
… Melanogaster</em>’s circadian clock neuronal network (CCNN) has been identified and several subpopulations have been characterized based on previous studies; the classifications of subpopulations of neurons within the CCNN are based on a return of anticipatory locomotor activity …
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Variation resolutions for CMOS sensing networks
… on operating conditions. With a Q=10 matching network, -27 dBm sensitivity and 22% efficiency can be achieved for about 0.5 V DC output to a 500 kΩ load at 570 MHz. On the other hand, the sensing variation can originate from the targeted biological sensing signal, which complicates both the …