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182 articles for “neural network algorithm”
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Research ArticleOpen accessPhrase in the titleDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,721 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleImproving the Performance of Backpropagation Neural Network Algorithm for Image Compression/Decompression SystemOmaima N.A. AL-AllafProblem statement: The problem inherent to any digital image is the large amount of bandwidth required for transmission or storage. This has driven the research area of image compression to develop algorithms that compress images to lower data rates with better quality. Artificial neural networks are becoming attractive in image processing where high computational performance and parallel architectures are required. … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 8,370 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Modified Conjugate Gradient Formula for Back Propagation Neural Network AlgorithmAbbas Y. Al Bayati, Najmaddin A. Sulaiman, Gulnar W. SadiqProblem statement: The Conjugate Gradient (CG) algorithm which usually used for solving nonlinear functions is presented and is combined with the modified Back Propagation (BP) algorithm yielding a new fast training multilayer algorithm. Approach: This study consisted of determination of new search directions by exploiting the information calculated by gradient descent as well as the previous search direction. The proposed … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Dec 2009 · 6,989 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOn the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network AlgorithmA. Sivasubramanian, V. C. RavichandranIn long haul networks, the random birefringence induced in the optical fiber leads to a considerable Polarization Mode Dispersion (PMD). Polarization Dependent Loss (PDL) mainly occurs in optical components and depends on the state of polarization of optical signals. The presence of PMD and PDL causes pulsewidth narrowing and the pulsewidth reduction depends on states of polarization at which the … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,053 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAdvanced Logistic Belief Neural Network Algorithm for Robot Arm ControlMbaitiga ZacharieProblem statement: This study discusses the implementation of advanced logistic belief Neural Network for robot arms control. Approach: Given the desired trajectory of the end-effectors in space, the logistic function is used to compute the conditional probability of the neurons being active in response to its induced field. The computations of conditional probabilities are performed under two different null conditions. … …Journal of Computer Science, Vol. 8, Issue 6 · 3 Apr 2012 · 6,928 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameters Optimization of Adaptive Cashew Shelling Cutter Based on BP Neural Network and Genetic AlgorithmYun-Fei Fu, Jie Gong, Hui Huang et al.The aim of this study is to determine the optimal parameters of the adaptive cashew shelling cutter. To meet the requirements of cashew nut processing enterprises, this study takes the whole-kernel rate as the optimization objective. Let the three main parameters of the adaptive cashew shelling cutter: The distance between upper and lower cutters, the pre-pressure of the spring and … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 1 Nov 2015 · 7,903 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGENETIC 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 accessEvery word in the titleA Heuristic Moving Vehicle Location Prediction Technique Via Optimal Paths Selection with Aid of Genetic Algorithm and Feed Forward Back Propagation Neural NetworkE. Baby Anitha, K. DuraiswamyThe moving object or vehicle location prediction based on their spatial and temporal information is an important task in many applications. Different methods were utilized for performing the vehicle movement detection and prediction process. In such works, there is a lack of analysis in predicting the vehicles location in current as well as in future. Moreover, such methods compute the … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 8,888 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrice 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 accessEvery word in the titleA Hybrid Approach for Detecting Stego Content in Corporate Mail Using Neural Network Based Simplified-Data Encryption Standard AlgorithmP. T. Anitha, M. Rajaram, S. N. SivanandhamProblem statement: The major growth of information technology is based on the security measures implemented. Steganography is a method which is used to give high level security. Approach: Today, email management and email authenticity must be unquestionable with strong chains of custody, constant availability and tamper-proof security. A secure communication can be achieved through neural based steganography. Email is insecure. … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 7,128 accessesView PDFCite