Search
Now showing items 1-6 of 6
Financial Forecasting using Deep Learning with an Optimized Trading Strategy
(Institute of Electrical and Electronics Engineers Inc., 2019)
Financial forecasting using computational intelligence nowadays remains a hot topic. Recent improvements in deep neural networks allow us to predict financial market behavior. In our work we first implement a novel approach ...
Neural network based instant parameter prediction for wireless sensor network optimization models
(Springer New York LLC, 2019-08)
Optimal operation configuration of a Wireless Sensor Network (WSN) can be determined by utilizing exact mathematical programming techniques such as Mixed Integer Programming (MIP). However, computational complexities of ...
Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows
(Elsevier B.V., 2019)
In multi-phase flow, the gas phase, the liquid phase and the particles (cuttings) within the liquid have different flow behaviors. Particle velocity and particle direction are two of the important aspects for determining ...
Evolutionary Optimized Stock Support-Resistance Line Detection for Algorithmic Trading Systems
(Institute of Electrical and Electronics Engineers Inc., 2019-11)
Successful stock traders have been using support-resistance lines for their trading decisions for decades. At the same time, correctly identifying these imaginary lines is one of the greatest challenges that they constantly ...
HSV Color Histogram Based Image Retrieval with Background Elimination
(Institute of Electrical and Electronics Engineers Inc., 2019-11)
In this study, a new content based image retrieval (CBIR) method, which uses HSV histogram data is proposed. The model uses the HSV histogram to find the background from the image by analyzing the peaks in the histogram data ...
Unsupervised Fingerprint Classification with Directional Flow Filtering
(Institute of Electrical and Electronics Engineers Inc., 2019-11)
In this study, an unsupervised neural network model is proposed for fingerprint classification. The proposed model uses directional flow or local ridge orientation (LRO) information and the relative locations of ...