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 11 of 11 for “"hidden nodes"”.
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Inference of multiple sparse networks in the presence of hidden nodes
… is that observations are available at all nodes, which is often violated in practice. In this thesis, we consider the realistic and more challenging scenario where a subset of nodes are hidden and cannot be measured. To address this ill-posed problem, we assume that there exist sets of …
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On a Joint Physical Layer and Medium Access Control Sublayer Design for Efficient Wireless Sensor Networks and Applications
… of huge numbers of inexpensive wireless sensor nodes with limited resources (energy, bandwidth), operating in harsh environmental conditions. WSNs must perform reliably despite novel resource constraints including limited bandwidth, channel errors, and nodes that have limited operating energy. …
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Yield Curves and Macro Variables Interactions and Predictions
… Additionally, we found out that increasing the hidden nodes led to overfitting the data, hence, we recommend the use of a simple neural network architecture. Furthermore, we designed a model that computes the optimum number of hidden nodes based on: the number of input/output nodes and …
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Adaptive Self-Tuning Neuro Wavelet Network Controllers
Single layer feed forward neural networks with hidden nodes of adaptive wavelet functions (wavenets) have been successfully demonstrated to have potential in many applications. Yet applications in the process control area have not been investigated. In this paper an application to a self-tuning …
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Understanding what a captioning network doesn't know
… about the relationship between the activation of hidden layers and human-understandable concepts. Recent work in network interpretability has provided a framework for analyzing hidden nodes and layers, showing that in many convolutional architectures, there exists a significant correlation between …
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Performance improvement in mobile ad-hoc networks.
… technique employs both random bit errors and hidden-node collisions. The analytical models based on Markov-chain model shows that the optimal fragmentation technique can effectively reduce the number of retransmissions caused by both collisions from hidden nodes and corrupted packets by random …
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Advanced batch process modelling, control and optimization for injection stretch blow moulding
… space by heuristic approaches while the hidden nodes of RBF model are selected one by one in a discrete space using the first stage of TSS algorithm. Due to this recursive updating mechanism, the computational complexity is significantly reduced. In addition, the insignificant hidden …
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Portfolio management using computational intelligence approaches. Forecasting and Optimising the Stock Returns and Stock Volatilities with Fuzzy Logic, Neural Network and Evolutionary Algorithms.
… evolves the ANN¿s initial values and structures hidden nodes and layers. The EANN gives a better performance in stock return forecasts in comparison with those of Ordinary Least Square Estimation and of Back Propagation and Elman Recurrent ANNs. Adaptation algorithms for selecting a pair of …
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Hidden Terminal Detection in Wide-Area 802.11 Wireless Networks
The hidden terminal problem is an important issue in wireless networks based on the CSMA medium access control scheme. Hidden terminals pose a complex challenge to network operators trying to identify the underlying cause of performance issues. This thesis describes new methods for the detection …
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The COMPASS Paradigm For The Systematic Evaluation Of U.S. Army Command And Control Systems Using Neural Network And Discrete Event Computer Simulation
… and each DV forms an output node. One layer of hidden nodes is used to complete the network. The number of hidden nodes and layers is determined through iterative analysis of the network. The completed network is then trained to replicate the output conditions through iterative epoch executions. …
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Neural networks in control engineering
… this structure, in which any input affects all hidden nodes such that no effective partitioning of the input space can be achieved. This problem is overcome in a less flexible feedforward structure, known as regular Gaussian network. In this network, the response of each hidden node is limited …