Artificial Neural Networks
A. Artificial Neural Networks
... forward neural networks for stock market prediction was proposed by Asadi ...an artificial neural network to forecasts the range of closing prices of three Brazilian power distribution ...
7
Modeling flexibility using artificial neural networks
... The flexibility of distributed energy resources (DERs) can be modeled in various ways. Each model that can be used for creating feasible load profiles of a DER represents a potential model for the flexibility of that ...
19
Time Series Classification with Artificial Neural Networks
... Artificial neural networks, a group of machine learning algorithms based on the principles of the human brain, are nowadays used in a wide variety of ...Furthermore, neural networks 1 ...
81
Artificial Neural Networks A Review of Applications of Neural Networks in the Modeling of HIV Epidemic
... machines, artificial neural networks and decision trees for anti-HIV activity prediction of organic ...machines, artificial neural networks and decision ...
9
Superintelligent Deep Learning Artificial Neural Networks
... A bigger issue for widespread adoption by large organizations, however, is trust. How much do people trust the AI outputs? How much will people accept what AI systems tell them? The immaturity of some of ...
16
Forecasting time series with artificial neural networks
... method, artificial neural networks, have achieved excellent results in different problems related to computer vision and natural language ...An artificial neural network is a system of ...
78
Vibrational control of chaos in artificial neural networks
... The point of this thesis is to clarify notions of the edge of chaos as they apply to artificial neural networks. Sections 2 and 3 briefly describe some background in artificial neural ...
44
Artificial neural networks in freight rate forecasting
... using artificial intelligence techniques (e.g. artificial neural networks - ANNs) to forecast shipping freight rates, and fewer still incorporating forward freight agreement (FFA) information ...
31
A Review of Unsupervised Artificial Neural Networks with Applications
... of artificial neural networks whose process of development is based on unsupervised learning techniques and exploitation of the similarities between data [15, 16, ...
5
Visualizing the Hidden Activity of Artificial Neural Networks.
... examples. Artificial neural networks currently achieve state-of-the-art results in this ...such networks are typically used as black-boxes, they are also widely believed to learn ...
10
Prediction of littoral drift with artificial neural networks
... Abstract. The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects. Such information is currently obtained through various empirical formulae. Despite so many works in the ...
9
Application of Artificial Neural Networks in Civil Engineering
... Artificial neural networks are computers whose architecture is modeled after the ...An artificial neural network (ANN) is applied to several civil engineering problems, which have ...
8
Approximation of Continuous Functions by Artificial Neural Networks
... the artificial neural networks with such form would be able to approximate continuous functions in arbitrary ...of artificial neural networks be similar or close to the set of ...
34
Adaptive Activation Functions For Artificial Neural Networks
... Convolutional Neural Networks (CNN) are part of artificial neural networks, known as Deep ...These networks are able to perform classification with real-time video streaming, ...
5
Artificial neural networks as models of stimulus control
... Artificial neural networks represent an important advance in the modelling of ner- vous systems and behaviour (see ...years artificial neural networks have been actively ...
15
Face Recognition using Artificial Neural Networks
... using Artificial Neural Networks , where we use Principal Component Analysis for dimensionality reduction of the image and can be represented as the Eigen faces coordinate space , ...Propagation ...
6
Algorithms for Optimized Training of Artificial Neural Networks
... Artificial neural networks (ANNs) are one of the most widely used paradigms in pattern analysis and machine learning ...research. Neural networks (NN) have been used to solve a variety ...
10
Nowcasting US GDP with artificial neural networks
... Our contribution is to demonstrate that feedforward artificial neural networks can be applied to nowcasting, as well as to forecasting. The reason why we focus on feed forward ANNs, in contrast to ...
29
A Review on Ensemble of Diverse Artificial Neural Networks
... Combining multiple classifiers performs better than a single classifier but suffers from the difficulty of construction process (diversity of members, parameter tuning, and combination methods). It is well known that ...
8
Virus Detection using Artificial Neural Networks
... biological neural networks, Artificial Neural Networks was introduced which solved many real world ...using neural networks is that it learns through the training data, ...
7