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Multi-back-propagation Algorithm for Signal Neural Network Decomposition
In this paper, a novel back-propagation error technique is presented. This neural network structure allows for two fundamental basic modes: (1) To...
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Back propagation artificial neural network for diagnose of the heart disease
Nowadays, coronary heart disease is one of the most fatal disease globally. Many researchers and medical technicians have developed and designed...
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Interpretable Back Propagation Neural Network Based Fast Directional Modulation Design
Traditional solutions for directional modulation (DM) rely on weight optimization methods, which has high computational complexity and cannot be...
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Pipeline damage identification based on an optimized back-propagation neural network improved by whale optimization algorithm
With the advantages of high economy and large transportation capacity, pipeline transportation is commonly used in industrial production. Pipeline...
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A method of forecasting trade export volume based on back-propagation neural network
Financial forecasting has been greatly improved in recent years, but at long horizons, forecast accuracy may be low. Foreign trade plays an important...
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Forecasting Model for the Number of Breeding Sows Based on Pig’s Months of Age Transfer and Improved Flower Pollination Algorithm-Back Propagation Neural Network
Regulating the number of breeding sows (NBS) is crucial for pork supply–demand balance. Current forecasting methods for NBS fail to consider the...
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State-of-health estimation of Lithium-ion battery based on back-propagation neural network with adaptive hidden layer
The reliability and safety of lithium-ion batteries (LIBs) are key issues in battery applications. Accurate prediction of the state-of-health (SOH)...
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Fault diagnosis of rolling bearing based on back propagation neural network optimized by cuckoo search algorithm
In order to improve the accuracy of rolling bearing fault diagnosis in mechanical equipment, a new fault diagnosis method based on back propagation...
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Autonomous detection of myocarditis based on the fusion of improved quantum genetic algorithm and adaptive differential evolution optimization back propagation neural network
Myocarditis is cardiac damage caused by a viral infection. Its result often leads to a variety of arrhythmias. However, rapid and reliable...
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Phishing Email Mitigation Technique Using Back-Propagation Neural Network for Cyber Space
Nowadays email is gaining significant popularity over the past years. Peoples use email as a one of the fastest formal mediums through which they are...
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Control of Rice Blast Pathogens Using Back Propagation Fuzzy Neural Network
Rice blast disease caused by fungus Pyricularia oryzae is an important disease of rice. Rice blast affects different parts of the rice plant at all...
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Satellite Image Retrieval Based on Adaptive Gaussian Markov Random Field Model with Bayes Back-Propagation Neural Network
This paper introduces a novel method for satellite image retrieval based on an adaptive Gaussian Markov random field (AGMRF) model with Bayes-based...
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Prediction of Arc Voltage of Electric Arc Furnace Based on Improved Back Propagation Neural Network
The Production of the quality steel is achieved by melting iron and steel scraps by utilizing electric power in an electric arc furnace, it acts as...
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An improved multi-scale convolutional neural network with gated recurrent neural network model for protein secondary structure prediction
Protein structure prediction is one of the main research areas in the field of Bio-informatics. The importance of proteins in drug design attracts...
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A Method for Sleep Position Identification Based on Back Propagation Neural Network
Sleep occupies roughly one-third of our lifetime and strongly impacts our work, physical well-being and daily activities. The identification of...
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Hybrid spiking neural network for sleep electroencephalogram signals
Sleep staging is important for assessing sleep quality. So far, many scholars have tried to achieve automatic sleep staging by using neural networks....
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Cross-propagation parallel network for reflection image inpainting
The development of deep learning has led to great advances in image reflection removal techniques. Most existing image reflection removal methods can...
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A neural network approach for solving nonlinear differential equations of Lane–Emden type
In this paper, we propose an Artificial Neural Network (ANN) method for solving some well-known classes of Lane–Emden type equations which are the...
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Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network
Power transmission and transformation project (PTTP) is a crucial part of the power system, and during the construction process, various special...
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Application of Distributed Back Propagation Neural Network for Dynamic Real-Time Bidding
Programmatic buying popularly known as real-time bidding (RTB) is a key ascendancy in online advertising. The Ad Tech industry is experiencing...