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 261 for “"feed forward"”.
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Topographic mappings and feed-forward neural networks
… some element of geometric structure - with feed-forward neural networks. As an alternative to established methods, a transformational variant of Sammon's method is proposed, where the projection is effected by a radial basis function neural network. This approach is related to the …
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Quantitative failure models of feed-forward neural networks
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1991.
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Analysis of a feed-forward priority queueing system
… dissertation deals with the problem of analyzing feed-forward priority queueing systems. In this type of system incoming units enter one of n priority queues if the service facility is busy. Units in the highest priority queue are served on a first-come-first-served basis while units in the lower …
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An hybrid architecture for multi-layer feed-forward neural networks.
Multi-layer feed-forward neural networks have the capability to classify and generalize, which are not achievable with other methods. The complete exploitation of their potential to full limit requires efficient hardware implementation. The two main problems of hardware realization; easy long term …
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Valve characterization to implement feed-forward control of hydraulically actuated joints
… cycle. With a description of valve behavior, a feed-forward term can be implemented in the positional control loop of a hydraulically actuated robotic prototype. In order to isolate valve behavior, a test bed apparatus consisting of three separate hydraulic cylinders was constructed to decouple …
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Using feed-forward networks to infer the activity of feedback neuronal networks
… patterns, for example, some neurons send feed-forward information to the coupling neurons while others are mutually coupled. Because it is often difficult to analyze large interconnected feedback neuronal networks, it is important to derive techniques to reduce the complexity of the …
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An Open Loop Feed-Forward Control Scheme for Bioinspired Artificial Hair Cell Sensors
… documents the creation and use of an open-loop feed forward control scheme designed to manipulate the DC potential across lipid bilayer membranes in artificial hair cell sensors. Inspired by the human cochlea's non-linear gain phenomenon, whereby the cochlea can increase or decrease the …
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Transcriptional Regulation of Muscle Contractility and Metabolism by a MicroRNA-Mediated Feed Forward Loop
… phenotype, and elucidate a double negative feed-forward regulatory loop by which functionally related fiber type specific gene isoforms are collectively controlled in response to physiological stressors.
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Feed-Forward Air-Fuel Ratio Control during Transient Operation of an Alternative Fueled Engine
… the development of a methodology to improve the feed-forward air-fuel ratio control during transient operation of an alternative fueled engine. Due to transport delays between the induction of the air-fuel mixture into the cylinder and the reading of the combustion exhaust gases from the oxygen …
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Feed-Forward Neural Network (FFNN) Based Optimization Of Air Handling Units: A State-Of-The-Art Data-Driven Demand-Controlled Ventilation Strategy
… an optimal estimation accuracy. In this study, feed-forward neural network algorithm (FFNN) was proposed to estimate the zone occupancy using CO2 concentrations, observed occupancy data and the zone schedule. The occupancy prediction result was then utilized to optimize supply fan operation of …
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Design of a continuous-time bandpass delta-sigma modulator
… while consuming 319 mW. On the system level, the feedback topology secures stability for the 8th-order system, achieving a maximum stable input range of -1.9 dBFS. A 2.5-V/1.2-V dual-supply loop filter with a feed-forward coupling path has been proposed to suppress noise and distortion. On the …
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Selective catalytic reduction: testing, numeric modeling, and control strategies
… which is troublesome when designing ammonia feed controllers. An experimental SCR test apparatus was installed on a Cooper Bessemer GMV-4 natural gas engine. Transient data was taken of commercially available SCR Catalysts. These transient tests are used to quantify SCR catalyst response. …
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Bi-Modal Excitation of a Supersonic Rectangular Jet
… aspect of this work focuses on the use of a feed-forward controller to control the actuation. Excitation studies have traditionally used open-loop control where only a single frequency is excited with an analytic function. There are very few published studies that have used real time sensing …
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A comparative study of neural network algorithms.
… Recognition application and a Multi-layer Feed forward neural network is trained using a Fast training algorithm. Then the fast training algorithm is compared with the delta rule training algorithm. The various neural network models studied in this thesis are Hopfield, Hamming, …
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Space Vector Modulation and Control of Multilevel Converters
… an unavoidable neutral point voltage ripple, a feed forward type of control method is developed next. The proposed feed forward algorithm can effectively prevent the neutral point voltage ripple from creating distortions in the converter output voltage under all loading conditions and without …
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Modeling neural connectivity of caenorhabditis elegans
… two performing methods on simulated data were feed-forward neural networks and ODE reverse engineering. The worst performing methods were recurrent neural networks and Bayesian inference. Out of the methods tried, feed-forward neural network was the most robust to changes in parameters of the …
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Hippocampal microcircuits for social memory specification
… in specification through repeating motifs of feed-forward inhibition. Both the inhibition of GABAergic inhibitory neurons in CA2 and reduced activity of excitatory neurons by ablation of oxytocin receptors in the dCA2 to vCA1 microcircuits impair social memory specification. These results …
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A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks
… in the model of the lac operon. Finally, a feed-forward loop analysis is conducted by measuring and comparing the noise level in the target protein of feed-forward loops. This analysis reveals the ability of certain feed-forward loops to attenuate or amplify fluctuations, dependent upon …
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