Search Results - "Backpropagation Learning Algorithm"

A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images by Peng, Tao, Gu, Yidong, Ye, Zhenyu, Cheng, Xiuxiu, Wang, Jing

“…•A cascade framework is proposed for automatic lung segmentation in CXRs.•An adaptive closed polyline searching method is used to obtain data sequence.•An…”
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PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL by Marey, Samy, Aboukarima, Abdulwahed, Almajhadi, Yousef

“…ABSTRACT This study examines the capability of an artificial neural network (ANN) approach using a backpropagation-learning algorithm to predict performance…”
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A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices by Chakravarty, S., Dash, P.K.

“…This paper presents an integrated functional link interval type-2 fuzzy neural system (FLIT2FNS) for predicting the stock market indices. The hybrid model uses…”
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Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting by Tabbussum, Ruhhee, Dar, Abdul Qayoom

“…The ability of the adaptive neuro-fuzzy inference algorithm architecture to simulate floods is explored in this research. The development of models for flood…”
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Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks by Bebarta, D. K., Biswal, Birendra, Dash, P. K.

“…A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data…”
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Intelligent controlled three-phase squirrel-cage induction generator system using wavelet fuzzy neural network for wind power by Lin, Faa-Jeng, Tan, Kuang-Hsiung, Fang, Dun-Yi, Lee, Yih-Der

“…An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected wind power application using wavelet fuzzy neural…”
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Corroboration of NDT and deconvolution neural networks for pedestrian bridge health assessment by Kilic, Gokhan, Unluturk, Mehmet S.

“…This paper describes the specific application of the non-destructive testing methods of visual inspection and ground penetrating radar (GPR) to a pedestrian…”
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Neural networks with robust backpropagation learning algorithm by Walczak, B.

“…A robust error suppressor function, which is independent of the underlying probability density function and convenient for computer programs, is proposed to…”
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Effect of Different Activation Function on Short Term Load Forecasting Using Neural Network- A Comparative Study by Kumari, Rajni, Jain, Sachin Kumar

“…Now a day's variation and complexity in the electrical load is increasing day by day due to a sudden change in the weather condition, temperature, humidity,…”
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Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm by Nian Zhang, Behera, P. K.

“…In response to the growing concern over the use of fossil fuels, renewable energy industries have been significant economic drivers in many parts of the United…”
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An optimized algorithm for recognition of complex patterns based on artificial neural network by Gurzynski, Pawel, Dlugosz, Rafal, Talaska, Tomasz, Swietlicka, Alexandra

“…The paper presents an optimized algorithm for the recognition of complex and noisy patterns. The system, based on the backpropagation neural network (NN), can…”
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Reliability analysis using artificial neural networks by Changqing Qi, Jimin Wu

“…A probabilistic analysis approach is developed by extending the Monte Carlo simulation. The Multilayer perceptron with backpropagation learning algorithm is…”
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Prediction of hypervelocity orbital debris impact damage to the space station by neural networks by Guleyupoglu, S., Smith, R.E.

“…Prediction of damage to orbiting space craft due to collisions with hypervelocity space debris is an important issue in the design of Space Station Freedom…”
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Data processing for multi-channel optical recording: action potential detection by neural network by Yamada, S, Kage, H, Nakashima, M, Shiono, S, Maeda, M

“…Using a neural network, we have developed a program for fast and precise detection of action potentials (AP) in raw multi-channel optical recording data. The…”
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