[PDF] Top 20 A novel approach based on recurrent neural networks applied to nonlinear systems optimization
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A novel approach based on recurrent neural networks applied to nonlinear systems optimization
... a recurrent neural network for nonlinear optimization with a contin- uously differentiable objective function and bound ...Another neural model for solving convex qua- dratic programming ... See full document
15
A novel approach to parameter uncertainty analysis of hydrological models using neural networks
... Levenberg-Marquardt optimization algorithm including a couple of iterations to get good ...required to choose the relevant input variables and the data preparation depends on the modeller’s ... See full document
14
Recurrent Neural Network Based Control for Risers and Oil Wells
... Recurrent Neural Networks (RNN) tend to be costly to optimize, though they posess desir- able properties for dynamic system identification and serve as an universal approximator for ... See full document
71
Energy-efficient recurrent neural network hardware architecture for heart rate estimation based on photoplethysmography
... energy-efficient systems particularly concerns in wearable devices for health monitoring as they must be under non-stop operation with limited energy source available on miniaturized ...employing ... See full document
159
Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala
... artificial neural networks, which are mathematical tools widely applied to the resolution of complex biological ...was to use three well-known neural networks, namely ... See full document
19
Applications of neural networks to control systems
... used to take roughly three days on a Sun 3/60 workstation, using the Levenberg-Marquardt algorithm minimizing the standard criterion, were reduced to approximately 5 ...be applied in all cases ... See full document
202
Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator
... adaptive neural network controller for a class of nonlinear ...The approach uses two Radial Basis Functions, RBF ...used to approximate the ideal control law which cannot be implemented since ... See full document
17
An Arabic Text-To-Speech System Based on Artificial Neural Networks
... computer systems increasingly offer the users the opportunity to interact with information through ...been applied to those languages. Arabic on the other hand, has been given little ... See full document
7
Agent-based technology applied to power systems reliability
... model to assess reliability indices. Well-being analysis has been applied in areas such as composite generation and transmission systems, but essentially it requires detailed models, such as a ... See full document
207
A RECURRENT ELMAN NEURAL NETWORK - BASED APPROACH TO DETECT THE PRESENCE OF EPILEPTIC ATTACK IN ELECTROENCEPHALOGRAM (EEG) SIGNALS
... recordings to detect traces of ...detection systems have been developed in recent ...possible to store and process the EEG data ...fed to an automated seizure detection system in order ... See full document
4
A Novel Cascaded Nonlinear Equalizer Configuration on Recurrent Neural Network Framework for Communication Channel
... well on channels with deep spectral nulls or with nonlinear ...that nonlinear equalizers based nonlinear theory exhibit better performance than linear equalizers in applications where ... See full document
5
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
... (2007) applied neural networks and RSM models to predict the burr size for a drilling ...superior to that obtained by the polynomial ...model to predict surface roughness ... See full document
8
Link load balancing optimization of telecommunication networks: a column generation based heuristic approach
... is to determine a routing path for each traffic flow so that the traffic load is balanced as much as possible over all network ...balance optimization is an important traffic engineering objective to ... See full document
6
An hybrid approach based on neural networks and regression Tree Models for fast dynamic security assessment
... developed approach is illustrated here through its application to the case of Madeira ...waste to energy unit ...regard to wind parks, and Pc to conventional power plants (hydro, waste ... See full document
6
DEVELOPING APPROACHES TO OPTIMIZATION OF COMPLEX TECHNICAL-ORGANIZATIONAL SYSTEMS BASED ON ADAPTIVE MODELS
... commercial wine yeast strains using the assay of Inter- delta genomic sequences. Experimental parameters of PCR to identify were optimized and optimal simplified method of DNA extraction from dried preparations of ... See full document
11
Design of hub-and-spoke networks applied to public transportation systems
... nodes to install hubs and installing a set of hub arcs, where a hub-level network partially interconnected are allowed, and allocat- ing each non-hub node to a single ...aiming to minimize the total ... See full document
133
Multidimensional wavelet neural networks Based on polynomial powers of sigmoid
... faces based on the approach presented in Lin and Fan (2001), which consists of fin- ding isosceles triangles in an image, as the mouth and eyes form that geome- tric figure when linked by ...regions ... See full document
18
Insights on neural networks
... artificial neural networks. We relied on a toy problem to gain an intuition about the processes and mechanisms residing inside neural ...expectations based on a reference ... See full document
146
A method based on neural networks for generating solar radiation map
... Artificial neural networks are mathematical models inspired by the organization and functioning of biological ...needed to solve differential equations using numerical methods, but the selection of ... See full document
12
A novel approach to segment skin lesions in dermoscopic images based on a deformable model
... penalty to the speed values of the pixels that are classified as the skin lesions at the time ...curve to the possible ...sensitive to the influence of noise and the initial classification 𝐼𝐼 ! ; ... See full document
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