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65 articles for “Back-Propagation”
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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 titleFEED FORWARD BACK PROPAGATION NEURAL NETWORK BASED CHARACTER RECOGNITION SYSTEM FOR TAMIL PALM LEAF MANUSCRIPTSJ. Ramya, B. ParvathavarthiniOptical character recognition refers to the process of translating segmented hand-written images or typewritten images into machine editable text. In this study, we propose a Tamil palm leaf manuscripts character recognition system using FFBNN technology. First the palm leaf manuscripts characters are segmented by exploiting the sliding window and adaptive histogram calculation. Afterwards, these segmented characters are assembled and then … …Journal of Computer Science, Vol. 10, Issue 4 · 21 Dec 2013 · 7,160 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling of Piezoelectric Actuators Based on Bayesian Regularization Back Propagation Neural NetworkWen Wang, Zhu Zhu, Yanding Wei, Zichen ChenProblem statement: Piezoelectric actuator is a kind of key driving components for micropositioning stages, micropumps, micro valves, micro gripper and so on in the fields of micro/nano technology such as integrated circuit manufacturing, precision instruments, ultra precision fabrication, biomedical manipulation. It has lots of advantages including high stiffness, fast response times, less heat generating, low power consumption and large force … …Current Research in Nanotechnology, Vol. 1, Issue 1 · 15 Jun 2011 · 7,059 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSoft Sensors for Monitoring Combustion Quality and Flue Gas Emissions in Power Station BoilersNallamilli P G Bhavani, Kesavan Sujatha, Ponmagal RajendranThis research work includes a combination of Fisher’s Linear Discriminant (FLD) analysis by merging Radial Basis Function (RBF) Network and Back Propagation Algorithm (BPA) for monitoring the combustion conditions of a coal fired boiler. The CCD Camera is used to capture the two dimensional flame images. The features such as images, average intensity, area, brightness and orientation etc., of the … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 7 Feb 2018 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn the Need of Source Address for Route-Error Delivery in 6LoWPANShafique Ahmad ChaudhryLow-power Wireless Personal Area Networks (LoWPANs) comprise devices that conform to the IEEE standard 802.15.4. These networks need to be connected with other wireless and wired networks in order to maximize the utilization of information and other resources which are mainly associated with the Internet Protocol (IP)-based networks. The transmission of IPv6 over Low Power Wireless Personal Area Networks (6LoWPANs), … …Journal of Computer Science, Vol. 11, Issue 8 · 15 Nov 2015 · 6,286 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMODELING ISOSTERIC HEAT OF BANANA FOAM MAT USING NEURAL NETWORK APPROACHPreeda Prakotmak, Hataitep Wongsuwan, Somchart Soponronnarit, Somkiat PrachayawarakornInformation on the adsorption isotherm and the thermodynamic properties can assist in optimizing food processing operations such as drying, packaging and storage in the assessment of the quality of food. In this study, an Artificial Neural Network (ANN) was used for modelling the water activity/Equilibrium Relative Humidity (ERH) of banana foam mat under a range of values of the Experimental … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 13 May 2014 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPREDICTION OF FIGHT OR FLIGHT RESPONSE USING ARTIFICIAL NEURAL NETWORKSAbhijit Suresh, Sai Swarna Latha, Pooja Nair, N. RadhikaThe modern society has posed several threats to the public. Public security is declining with increasing anti-social behaviour. Cases of rape and terrorist attacks have become increasingly common and there is a strong demand for a security system to control such modalities. Anti-social behaviour is a key issue of public concern. Public perceptions, however, have been improving recently. The vital … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSLOPE STABILITY ANALYSIS OF KALLAR-COONOOR HILL ROAD STRETCH OF THE NILGIRISP. Nalina, T. Meenambal, R. Sathyanarayan SridharThe stability of slopes is always under severe threats in many parts of Western Ghats, especially in Kallar-Coonoor hill road stretch, causing disruption, loss of human life and economy. To minimize the instability of soil slope in between Kallar-Coonoor, a critical evaluation of roads is required. The stability of slopes depends on the soil shear strength parameters such as Cohesion, … …Journal of Computer Science, Vol. 10, Issue 7 · 4 Feb 2014 · 7,402 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA TIME-DELAY CASCADING NEURAL NETWORK ARCHITECTURE FOR MODELING TIME-DEPENDENT PREDICTOR IN ONSET PREDICTIONAgus Buono, Imas Sukaesih Sitanggang, Mushthofa, Aziz KustiyoThe occurrence of rain before the real start of a rainy season often mislead farmers into thinking that rainy season has started and suggesting them to start planting immediately. In reality, rainy season has not started yet, causing the already-planted rice seed to experience dehydration. Therefore, a model that can predict the onset of rainy season is required, so that … …Journal of Computer Science, Vol. 10, Issue 6 · 29 Jan 2014 · 6,647 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPERFORMANCE ANALYSIS OF GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURE FEATURES FOR GLAUCOMA DIAGNOSISSakthivel Karthikeyan, N. RengarajanGlaucoma is a multifactorial optic neuropathy disease characterized by elevated Intra Ocular Pressure (IOP). As the visual loss caused by the disease is irreversible, early detection is essential. Fundus images are used as input and it is preprocessed using histogram equalization. First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM) are extracted from the … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 7,326 accessesView PDFCite