Abnormal power consumption detection method based on neural network
A technology of abnormal electricity consumption and neural network, applied in neural learning methods, biological neural network models, etc., can solve the problems of consuming human and material resources, unfavorable power industry management, low efficiency, etc., saving human and material resources and narrowing the scope of investigation. , the effect of reducing costs
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[0074] Embodiment: With the development of artificial intelligence, the application of artificial neural network in classification and prediction is being widely accepted and studied by people. The principle of artificial neural network algorithm is to let the computer sum up how to identify these abnormal classifications, and The classified data set is used as training data, and the algorithm is allowed to find the structural knowledge in it. Not only the classification result is better, but also the efficiency of the algorithm is very high.
[0075] Introduction to neural network: Neural network algorithm is one of the most important algorithms in machine learning. It simulates the neural network of the human brain. Through learning induction, an algorithm model that can be used for classification and prediction is obtained; the working principle of neural network is similar to that of human neurons. How it works, a simple neural network can be divided into an input layer, a ...
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