scispace - formally typeset
Book ChapterDOI

Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach

Reads0
Chats0
TLDR
Advanced machine learning methods, namely Artificial Neural Networks (ANNs) supported by a well-known multi-objective Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach are used to address water quality prediction problems.
Abstract
Water pollution due to industrial and domestic reasons is highly affecting the water quality. In undeveloped and developed countries, it has become a major reason behind a number of water borne diseases. Poor public health is putting an extra economic liability in order to deploy precautionary measures against these diseases. Recent research works have been directed toward more sustainable solutions to this problem. It has been revealed that good quality of water supply can not only improve the public health, it also accelerates economic growth of a geographical location as well. Water quality prediction using machine learning methods is still at its primitive stage. Besides, most of the studies did not follow any national or international standard for water quality prediction. In the current work, both the problems have been addressed. First, advanced machine learning methods, namely Artificial Neural Networks (ANNs) supported by a well-known multi-objective Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach

read more

Citations
More filters
Proceedings ArticleDOI

Image based skin disease detection using hybrid neural network coupled bag-of-features

TL;DR: Experimental results indicated towards the superiority of the proposed bag-of-features enabled NN-NSGA-II model in terms of testing phase confusion matrix based performance measuring metrics.
Proceedings ArticleDOI

Biomedical image enhancement based on modified Cuckoo Search and morphology

TL;DR: This work describes an method for biomedical image enhancement using modified Cuckoo Search Algorithm with some Morphological Operation and a new technique has been proposed to enhance biomedical images using modified cuckoo search algorithm and morphological operation.
Proceedings ArticleDOI

Gradient approximation in retinal blood vessel segmentation

TL;DR: A gradient-based blood vessel segmentation technique is proposed to assist retinal image analysis and to extract the retinal vessels and it outperformed the corresponding values obtained by the other standard edge detectors, namely Sobel, Prewitt, Canny, and Robert's.
Proceedings ArticleDOI

Cellular image processing using morphological analysis

TL;DR: In this work, some of the methods have been reported which can be helpful in analyzing some practical problem by employing a suitable technique.
Proceedings ArticleDOI

Dermatological effect of UV rays owing to ozone layer depletion

TL;DR: In this paper, the effects of ozone hole on the skin were studied and it was shown that ozone hole can have drastic effect on the health of different living organisms most prominently on skin.
References
More filters
Journal ArticleDOI

LIBSVM: A library for support vector machines

TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
Posted Content

Evaluation: from Precision, Recall and F-measure to ROC, Informedness, Markedness and Correlation

TL;DR: E elegant connections between the concepts of Informedness, Markedness, Correlation and Significance as well as their intuitive relationships with Recall and Precision are demonstrated.
Journal Article

WHO guidelines for drinking-water quality.

H G Gorchev, +1 more
- 01 Jan 1984 - 
TL;DR: In soil, fertilizers containing inorganic nitrogen and wastes containing organic nitrogen are first decomposed to give ammonia, which is then oxidized to nitrite and nitrate, which are taken up by plants and used in the synthesis of organic nitrogenous compounds.
Journal ArticleDOI

Original Contribution: A scaled conjugate gradient algorithm for fast supervised learning

TL;DR: Experiments show that SCG is considerably faster than BP, CGL, and BFGS, and avoids a time consuming line search.
Journal ArticleDOI

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

TL;DR: The experimental results indicate that MOEA/D could significantly outperform NSGA-II on these test instances, and suggests that decomposition based multiobjective evolutionary algorithms are very promising in dealing with complicated PS shapes.
Related Papers (5)