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This paper presents an integrated hybrid optimization algorithm for training the radial basis function neural network (RBF NN). Training of neural networks is still a challenging exercise in machine learning domain. Traditional training algorithms in general suffer and trap in local optima and lead to premature convergence, which makes them ineffective when applied for datasets with diverse features. Training algorithms based on evolutionary computations are becoming popular due to their robust nature in overcoming the drawbacks of the traditional algorithms. Accordingly, this paper proposes a hybrid training procedure with differential search (DS) algorithm functionally integrated with the particle swarm optimization (PSO). To surmount the local trapping of the search procedure, a new population initialization scheme is proposed using Logistic chaotic sequence, which enhances the population diversity and aid the search capability. To demonstrate the effectiveness of the proposed RBF hybrid training algorithm, experimental analysis on publicly available 7 benchmark datasets are performed. Subsequently, experiments were conducted on a practical application case for wind speed prediction to expound the superiority of the proposed RBF training algorithm in terms of prediction accuracy.
This article was published in the following journal.
Name: PloS one
We propose a novel radial basis function neural network (RBF-NN)-based nonlinear equalizer (NLE) for the intensity modulation/direct detection (IM/DD) transmission. After optimizing input characterist...
An analysis of the measured ocean noise during the tropical cyclone period is presented. While the observed noise is highly correlated with wind, this study reveals the dispersion of noise spectra. A ...
This paper deals with the problem of environmental monitoring by designing and analyzing a cooperative receding horizon temporal logic (CRH-TL) control approach for mobile robot networks. First, a rad...
Many studies have focused on the interactive effects of temperature increases due to global warming and nutrient enrichment on phytoplankton communities. Recently, non-temperature effects of climate c...
Triboelectric nanogenerators (TENGs) are attracting more and more attention since it can convert various mechanical energies into electric energy. However, in traditional TENGs for harvesting rotation...
The purpose of the present study is to compare rates of glaucomatous optic neuropathy in professional wind versus non-wind instrument players in the Philadelphia Orchestra. A secondary obj...
The purpose of this study is to determine if there is a difference in the size and the depth of the radial artery at the access points for established radial and new distal radial approach...
Soccer is an intermittent sport in which the aerobic and anaerobic capacity of the players are both very important. Elite football players perform an average of 150-250 short and intense m...
In this proposal, we will examine processing speed training (PST) as a potential intervention to reduce the risk of developing long-term cognitive impairment after a delirium episode.
Traditionally, coronary angiograms are performed through the radial artery which is accessed above the palm of the 'right' hand. In recent years, some cardiologists are performing this pro...
Messages between computer users via COMPUTER COMMUNICATION NETWORKS. This feature duplicates most of the features of paper mail, such as forwarding, multiple copies, and attachments of images and other file types, but with a speed advantage. The term also refers to an individual message sent in this way.
Disease involving the RADIAL NERVE. Clinical features include weakness of elbow extension, elbow flexion, supination of the forearm, wrist and finger extension, and thumb abduction. Sensation may be impaired over regions of the dorsal forearm. Common sites of compression or traumatic injury include the AXILLA and radial groove of the HUMERUS.
A procedure to surgically correct REFRACTIVE ERRORS by cutting radial slits into the CORNEA to change its refractive properties.
Protective places of employment for disabled persons which provide training and employment on a temporary or permanent basis.
Predicting the time of OVULATION can be achieved by measuring the preovulatory elevation of ESTRADIOL; LUTEINIZING HORMONE or other hormones in BLOOD or URINE. Accuracy of ovulation prediction depends on the completeness of the hormone profiles, and the ability to determine the preovulatory LH peak.