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 “"Dynamic Neural Networks"”.
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Dynamic Neural Networks and Brain-inspired Computing
L'abstract è presente nell'allegato / the abstract is in the attachment
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Chaos and information in dynamic neural networks
… identify and model ways to store information in dynamic, chaotic neural networks. The justification for this research is given by both biological as well as theoretical motivations [2, 27, 29, 46, 60, 107]. Firstly, there seems to be substantial support for the use of dynamic networks to study …
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DYNAMIC NEURAL NETWORKS FOR EFFICIENT VISION MODEL INFERENCE
Recent progress in dynamic neural networks is hindered by high training overhead from full-parameter fine-tuning and limited application beyond visual perception. This thesis addresses these challenges through three key contributions: Parameter-Efficient Fine-Tuning (PEFT): We demonstrate that …
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Investigation in modeling a load-sensing pump using dynamic neural unit based dynamic neural networks
… so much of concern in the “black box” approach. Neural network can be used to implement the black box concept for system identification and it is proven that the neural network have the ability to model very complex behaviour and there is a well defined set of neural and neural network …
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DYNAMIC SELF-ORGANISED NEURAL NETWORK INSPIRED BY THE IMMUNE ALGORITHM FOR FINANCIAL TIME SERIES PREDICTION AND MEDICAL DATA CLASSIFICATION
Artificial neural networks have been proposed as useful tools in time series analysis in a variety of applications. They are capable of providing good solutions for a variety of problems, including classification and prediction. However, for time series analysis, it must be taken into account that …
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A comparative study of surrogate musculoskeletal models using various neural network configurations
… modeling method is the use of artificial neural networks in place of finite-element models. The ultimate objective of this research is to predict tissue-level stresses experienced by the cartilage and ligaments during movement and achieve concurrent simulation of muscle force and tissue …
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Dynamic recurrent neural networks for stable adaptive control of wing rock motion
… as the result of nonlinear coupling between the dynamic response of the aircraft and the unsteady aerodynamic forces. In this thesis, dynamic recurrent RBF (Radial Basis Function) network control methodology is proposed to control the wing rock motion. The concept based on the properties of the …
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Adaptive model inference under computational resource constraints
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01