[PDF] Top 20 Generation of Lyapunov Functions by Neural Networks
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Generation of Lyapunov Functions by Neural Networks
... Stability of nonlinear dynamic systems plays an important role in systems theory and ...stability of nonlinear control systems is the theory introduced in Alexandr Mikhailovich ...a Lyapunov function ... See full document
5
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... risks of drought in the Tagus river ...the generation of multiple future hydrological scenarios spanning several months in the future (between 24 and 60, depending on the basin); these are ... See full document
14
An implementation of flexible RBF neural networks
... the functions were usually spending too much time perform- ing object manipulations like inspecting the values of a matrix and seeking the column that had the biggest value per ...focus by the time, ... See full document
105
Assessment of genome-wide prediction by using Bayesian regularized neural networks
... Typical of this era was the construction of first neurocomputer (the Snark) by Marvin Minsky in ...processing functions (Yadav, et ...1958 by Frank Rosenblatt, Charles Wightman, and ... See full document
68
Applications of neural networks to control systems
... topology of the MLPs employed was ...activation functions are linear, because the range of the outputs of the neurons in the output layer is typically ...value of the weights and the ... See full document
202
Global Output Convergence of RNN in Menger Probabilistic Metric Space
... Hopfield neural networks which have been used in some optimization problems, ...applications of neural networks (e.g., CAM), the convergence of the network in the state space is ... See full document
4
Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks
... number of training was 500 and the activation functions for the intermediate and output layers fitted logistic and linear models, ...beginning of training and these initial values can influence the ... See full document
5
Data Fusion Using Different Activation Functions in Artificial Neural Networks for Vehicular Navigation
... solutions by overcoming each of their shortcomings, including signal blockage for GPS and increase in position errors with time for ...Artificial Neural Network (ANN) ...Forward Neural ... See full document
15
Molecular evolution of a peptide GPCR ligand driven by artificial neural networks.
... cellular functions such as energy and ion homeostasis, cellular adhesion, motility and also proliferation ...one of the most valuable classes of protein targets on the cell membrane ...third ... See full document
11
The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for traditional masonry
... aftermath of the 1998 Azores earthquake (Portugal) is used to develop a comparative analysis between damage grades obtained resorting to a classic damage formulation and an innovative approach based on Artificial ... See full document
19
Medical image registration by neural networks: a regression-based registration approach
... inspired by a machine learning strategy (Cootes, Edwards, & Taylor, 2001), and later adapted to 3D/2D registration (Chou et ...range of transformations for patient movements is applied to a CT image in ... See full document
199
J. Aerosp. Technol. Manag. vol.5 número1
... demand of aeronautical companies, the shell structures are very ...behavior of composite structures is also essential to improve the potential applications of these ...knowledge of the dynamic ... See full document
8
CONSTRUCTIVE NEURAL NETWORKS: A REVIEW
... conventional neural networks, we have to define the architecture prior to training but in constructive neural networks the network architecture is constructed during the training ... See full document
9
Improving the Performance of Dynamic Source Routing Protocol by Optimization of Neural Networks
... University of Science & Technology, ...Deptt of Computer Sc. & Engg, Guru Jambheshwar University of Science & Technology, ...Deptt of Computer Sc. & Engg, Guru Jambheshwar ... See full document
9
Achieving Universal Access to Broadband
... be of different ...market by means of initial ...sectors by promoting private de- mand, either by creating a fertile environment for industries, which are large users of specific ... See full document
9
Neural networks based predictive control for thermal comfort and energy savings in public buildings
... sequence of control actions that minimises a cost ...problems by dividing them into smaller sub-problems using a tree struc- ...sequence of control actions over the prediction horizon. The choice ... See full document
14
High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data
... analyzed by high-performance liquid chromatography HPLC-DAD, following the chromatographic conditions adjusted by Pinheiro- Sant’ana et ...controlled by the Multi System software, Class VP ... See full document
7
Modeling of Thermodynamic Properties based on Neurofuzzy System for Steam Power Plant
... properties of substance are needed in numerical simulation and controller of industrial ...modeled by usage of Neurofuzzy system (NFs) and subtractive ...subsystem of thermodynamic ... See full document
6
Combining MLP and Using Decision Tree in Order to Detect the Intrusion into Computer Networks
... security of computer networks has an important role in computer ...use of computer networks results in penetration and destruction of systems by system ...computer ... See full document
17
Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... molested by human intervention. Easy access, abundance and diversity of valuable forest products have led to increased population density, creating new residential areas and deforestation ...one of ... See full document
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