[PDF] Top 20 Synergistic control of forearm based on accelerometer data and artificial neural networks
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Synergistic control of forearm based on accelerometer data and artificial neural networks
... extension and flexion. An experimental study of reaching in the horizontal plane by able-bodied humans allowed us to reduce the dimensionality of the control vector from two to a single ... See full document
9
A method based on neural networks for generating solar radiation map
... Estimation of global solar radiation (GSR) is important in most solar energy applications, particularly in design methods, in system characterization and in decision making for energy ...methodology ... See full document
12
Personalized bank campaign using artificial neural networks
... 0,13% of the sample demonstrates the targeted ...the data, this percentage will always be inappropriate for trustfully ...probability based on distance measures between products and not ... See full document
49
Prediction of 3D ground reaction forces during gait based on accelerometer data
... aim of this study was to predict 3D ground reaction force signals based on accelerometer data during gait, using a feed-forward neural network ...3D accelerometer attached ... See full document
6
Proposition of a Geotechnical Mapping Based on Artificial Neural Networks for the Town of Caucaia, Ceará, Brazil for Paving Purposes
... focuses on the development of a method, based on Artificial Neural Networks (ANN), aimed to infer the geotechnical characteristics of the subgrade of Caucaia ... See full document
10
Applications of neural networks to control systems
... work of Ziegler-Nichols [10]. For instance, Åstrom and Hägglund [11] proposed the use of relay feedback, in conjunction with different design methods [11][12], to automate the tuning process ... See full document
202
Fine-tuning artificial neural networks automatically
... Design and Set Up: the design of the structure can be manually made by disposing graphic objects on the desktop area or automatically made by the use of ...elements of a project, such ... See full document
6
Application of Artificial Neural Networks for Predicting Generated Wind Power
... An Artificial Neural Network (ANN) is a type of model that was first abstracted by McCulloch and Pitts ...designed on biological neurons system, and how neurons interact with ... See full document
4
Artificial neural networks for compression of gray scale images: a benchmark
... performance of an SMNN: How to deal with (downsize) the indices for the windows? Most vector quantization (VQ) compression approaches deal with the problem of managing a large number of pieces ... See full document
12
In silico prediction of human oral bioavailability : artificial neural networks and physiologically based models
... One of the most known is the “Lipinski rule of 5” (Lipinski et ...analysis of successful drugs, in which indications for poorly absorbed hits are based on the number of H-bond ... See full document
229
Design of Circular Microstrip Antenna Using Artificial Neural Networks
... an artificial neural network (ANN) model has been developed for design of circular microstrip patch ...advantage of the proposed approach is that, after proper training, proposed neural ... See full document
4
Model Reduction-Based Control of the Buck Converter Using Linear Matrix Inequality and Neural Networks
... parameters, and this can be achieved by using artificial neural networks ...(ANN). Artificial neural systems can be defined as cellular systems which have the capability ... See full document
11
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
... goal of this work is to investigate the possibility of improving current gamma/hadron discrimination based on the shower patterns recorded on the ...use of Convolutional ... See full document
10
Data mining based damage identification using imperialist competi- tive algorithm and artificial neural network
... Based on the above descriptions, in the present study an attempt is made to investigate the applicability of data mining for improvement of damage identification of beam-like ... See full document
14
ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS
... physical and chemical analyses are relatively high-cost and time-consuming ...number of soil samples, the use of Artificial Neural Networks (ANN) has been pointed out as a ... See full document
9
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
... gene networks based on an ensemble of multilayer ...nature of the relationships between the variables, potentially capturing high-order and non linear dependencies between ... See full document
19
Neural networks based predictive control for thermal comfort and energy savings in public buildings
... use of model based predictive control (MBPC) with the purpose of efficiently controlling existing HVAC systems in large public build- ...follow-up of this past work, where a remote, ... See full document
14
Similarity-based Heterogeneous Neural Networks
... class of functions serving as generalized neuron models to be used in artificial neural ...framework of computing a similarity function, a flexible definition of a neuron as a pattern ... See full document
14
Data Fusion Using Different Activation Functions in Artificial Neural Networks for Vehicular Navigation
... mode and the prediction mode of BPN-ANN and RBF-ANN were utilized ...HTF and GF. The RBF-ANN was using GF. During the presence of GPS signal, the proposed system relies on GPS ... See full document
15
Estimating soybean yields with artificial neural networks
... complexity of the statistical models used to estimate the productivity of many crops, including soybeans, restricts the use of this practice, but an alternative is the use of artificial ... See full document
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