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10 results for “Optimized Artificial Neural Network”
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Research ArticleOpen accessIn the keywordsGENETIC ALGORITHM AND NEURAL NETWORK FOR OPTICAL CHARACTER RECOGNITIONHendy Yeremia, Niko Adrianus Yuwono, Pius Raymond, Widodo BudihartoComputer system has been able to recognize writing as human brain does. The method mostly used for character recognition is the backpropagation network. Backpropagation network has been known for its accuracy because it allows itself to learn and improving itself thus it can achieve higher accuracy. On the other hand, backpropagation was less to be used because of its time … …Journal of Computer Science, Vol. 9, Issue 11 · 19 Sep 2013 · 7,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of an AI-Based Controller for a Positive Output Superlift DC-DC ConverterRicha Adlakha, Ashish Grover, Neha Chaudhary et al.DC-DC converters have emerged as crucial components in various industrial applications and form an integral part of power supplies based on switch-mode. Solar energy has garnered increasing significance owing to the scarcity of non-renewable fuels and its abundant availability. Photovoltaic (PV) technology, characterized by the arrangement of numerous series and parallel-connected PV cells within modules, generates DC output. Consequently, the … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrice Prediction for Agricultural Commodities in Bandung Regency Based on Functional Link Neural Network and Artifical Bee Colony AlgorithmsFhira Nhita, Deni Saepudin, Andini Paramita et al.In Indonesia, fluctuating agricultural commodity prices often impacts society negatively. In this study, farmers in Bandung Regency, West Java, Indonesia, were chosen as a case study. Fluctuating agricultural commodity prices can lead to farmers suffering losses due to the sale price being smaller or equal to the cost of planting. Price is influenced by crop productivity, while planting productivity is … …Journal of Computer Science, Vol. 15, Issue 10 · 6 Mar 2019 · 7,904 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterization of the Changes in Opened Sufu Bottles During Storage with Mathematical ModelJingJing Liang, Dawei Li, Ruiqin Shi et al.Artificial Neural Network (ANN) is a type of nonlinear empirical model, which can clarify the complex relation between the inputs and outputs that allows it to approximate any nonlinear function for making predictions. The objective of this study is to monitor the Biogenic Amines (BAs) content and selected physicochemical properties of sufu (a traditional Chinese fermented soybean product) along time. … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 12 Dec 2018 · 9,353 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMAGE SEGMENTATION WITH ARTIFICIAL NEURAL NETWORK FOR NUTRIENT DEFICIENCY IN COTTON CROPMaicon A. Sartin, Alexandre C.R. Da Silva, Claudinei KappesThe leaf analysis in a crop can present the need of a nutrient determined in the plant. The macronutrients deficiency in the cotton crop can be identified by specific type of colors variation by leaves images. Early identification of macronutrients deficiency can help in the growing suitable of the crop and reduce the use of agricultural inputs. This study investigates … …Journal of Computer Science, Vol. 10, Issue 6 · 4 Feb 2014 · 6,800 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,825 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMemory Convergence and Optimization with Fuzzy PSO and ACSSubhash C. Pandey, Dr. P. MisraAssociative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this study, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. A Fuzzy … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,169 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordArtificial Neural System for Packet FilteringM. I. Buhari, M. H. Habaebi, B. M. AliIn this study, we analyzed the use of neural network for packet filtering. The neural network system was designed in eight ways with input to the neural network in the form of either access rules or optimized access rules or binary form of access rules or representing wildcards as 0 and 255, or combination of them. These trained neural networks … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,992 accessesView PDFCite