BP neural networks model
Prediction Model of Power Customer Complaints Based on PCA BP Neural Network
... multiple neural networks, the randomness and volatility of the neural network are overcome and the final prediction results are ...prediction model, optimizes the ability of the model ...
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Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
... Artificial Neural Networks (ANNs) in the application of psychology ...evaluation model of post-disaster psychological crisis based on principal component analysis and neural network, providing ...
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A comparative analysis of two neural network predictions for performance and emissions in a biodiesel fuelled diesel Engine
... GR neural network model for predicting of performance and emissions formation in dual fuel DI diesel engines up to ...the BP neural network, the GR model is also developed to predict ...
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Predicting stock price based on BP neural network model
... past stock price, volatility, and trading behavior to predict stock return volatility. With the devel- opment of the social economy, the demand for predictive analysis is also increasing. The bio- logical and ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... Artificial neural network can approximate nonlinear continuous function with arbitrary precision and avoid the complex behavior for the solved problem in the modeling ...addition, neural network ...
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A BP Artificial Neural Network Model for Earthquake Magnitude Prediction in Himalayas, India
... Artificial Neural Network, Fuzzy logic and expert systems have been increasingly used in various applications in the last 30 years: Engineering design, Image recognition [2]; Prediction, Estimation, Pattern ...
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The Application of BP Neural Network in Leukocyte Classification Recognition
... Artificial Neural Networks (ANNs) also known as Neural Network (NNs), which is based on the physiological research results of the brain, is a mathematical model of a simulation of biological ...
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Forecasting Alzheimer’s Disease Using Combination Model Based on Machine Learning
... the BP neural networks, we can forecast the disease according the life style of the elderly ...nonlinear neural network combining with three layers can approach any continuous function with ...
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Design of Intrusion Detection System Based on Improved ABC elite and BP Neural Networks
... The optimization technology is an application technology that uses mathematics as the basis to find the optimal feasible solution for the objective optimization problem un- der certain conditional constraints. Before the ...
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Estimating of Scour in Downstream of the Water Level Regulation Structures
... Artificial neural networks (ANNs) with learning algorithm of error back propagation (BP) were used to estimate maximum water scour depth, and the model which has seven neurons in its hidden ...
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Review on Financial Forecasting Using Neural Network and Data Mining Technique
... Hopfield network is the most typical feedback network model, it is one of the models which are most commonly studied now. The Hopfield network is the monolayer constituted by the same neuron, and is also a ...
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BP neural network based sports performance prediction model applied research
... use neural network algorithms’ relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages to construct BP neural network model, carry out ...
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The Application of Neural Network in Multiple Object Tracking
... of neural networks in multiple object tracking is the main reasons are as ...Firstly, neural networks usually need a huge number of training data to learn the large parameters, but we can only ...
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Artificial Neural network for Data mining –A study
... a model, a preference criterion, and a search ...common model functions in data mining include classification, clustering, rule generation and knowledge ...Artificial Neural Networks, ...
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Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method
... 和 BP 神经网络的预测值总体上低于 观测值，其中 BP 神经网络在 LAI 值较大时的预测值明显低 于观测值，而在 LAI 观测值较小时 BP 神经网络的预测值相 比 SARIMA 方法更接近观测值。以上结果说明构建的 BP 神经 网络方法和 SARIMA 方法对 MODIS LAI 的预测具有不同的适 应性，即在 LAI 观测值较低时;构建的 BP ...
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Application of PSO BP Neural Network Model on Identification of Human Dynamic Balance
... balance model for human body in the process of external excitation, this test applies the human balance test system based on random visual stimulation to measure the torque and angle of human ankle ...
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Blind Navigation System using Artificial Intelligence
... artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...convolutional neural network can achieve reasonable performance on hard visual recognition ...
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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
... artificial neural networks, was proposed. The neural method proved to be better than the classic alternative based on Maximum Likelihood Estimates mainly in the region of high magnitudes of the ...
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Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE
... feedforward neural network, the depth of the CAPs (thus of the network) is the number of hidden layers plus one (as the output layer is also parameterized), but for recurrent neural networks, in ...
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JTML at SemEval 2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks
... The fast growth of online social networks (OSNs) has provided a medium for users to express their ideas and opinions about any topic. However, some users post offensive content which may de- ter other users from ...
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