Results 61 to 70 of about 37,616 (181)

Using Recurrent Neural Networks To Forecasting of Forex

, 2003
This paper reports empirical evidence that a neural networks model is applicable to the statistically reliable prediction of foreign exchange rates. Time series data and technical indicators such as moving average, are fed to neural nets to capture the ...
Kondratenko, V. V., Kuperin, Yu. A
core  

Stochastic neural networks

Revista Colombiana de Estadística, 1991
Artificial neural networks are brain-like models of parallel computations and cognitive phenomena. We sample some basic results about neural networks as they relate to stochastic and statistical processes.
Garzón Max, Torres Luz Gloria
doaj  

Cognitive passive radar system: software defined radio and deep learning approach

The Journal of Engineering, 2019
Cognitive passive radar (CPR) system is amenable to electromagnetic environment cooperating and optimal strategy making tasks on account of illumination source availability and waveform evaluation. In fact, intelligence will provide performance gain from
Qing Wang, Panfei Du, Tongdong Dou, Lirong Gao, Chun Li   +4 more
doaj   +1 more source

Controlling basins of attraction in a neural network-based telemetry monitor [PDF]

The size of the basins of attraction around fixed points in recurrent neural nets (NNs) can be modified by a training process. Controlling these attractive regions by presenting training data with various amount of noise added to the prototype signal ...
Bell, Benjamin, Eilbert, James L.
core   +1 more source

Multiple object tracking using feature fusion in hierarchical LSTMs

The Journal of Engineering, 2020
Multiple object tracking sets the foundation for many intelligent video applications. The authors present a novel tracking solution using the ability of recurrent neural networks to effectively model complex temporal dynamics between objects irrespective
Ehtesham Hassan
doaj   +1 more source

Predicting Customer Lifetime Value Using Recurrent Neural Net

4 pages, 4 figures, first presented in Customer Journey Optimization Workshop in KDD ...
Chen, Huigang, Ng, Edwin, Smyl, Slawek, Steininger, Gavin   +3 more
openaire   +2 more sources

DeepActivity: a micro-Doppler spectrogram-based net for human behaviour recognition in bio-radar

The Journal of Engineering, 2019
The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify ...
Hao Du, Tian Jin, Yongping Song, Yongpeng Dai   +3 more
doaj   +1 more source

Efficient detection of false data injection attack with invertible automatic encoder and long-short-term memory

IET Cyber-Physical Systems, 2019
The false data injection attack can tamper with the measurement information collected by the Supervisory Control and Data Acquisition, threat the security of state estimation. Therefore, the analysing methods and detection methods of false data injection
Yuancheng Li, Wendan Huo, Rixuan Qiu, Jing Zeng   +3 more
doaj   +1 more source

Cyberbullying Detection in Arabic Text Using Different Deep Learning Approaches

Wasit Journal of Computer and Mathematics Science
The rise of social media has enabled the rapid spread of user-generated content across various domains, including advertising, entertainment, politics, and economics.
Humera Shaziya
doaj   +1 more source

Learning DALTS for cross-modal retrieval

CAAI Transactions on Intelligence Technology, 2019
Cross-modal retrieval has been recently proposed to find an appropriate subspace, where the similarity across different modalities such as image and text can be directly measured.
Zheng Yu, Wenmin Wang
doaj   +1 more source