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Smart city system artificial intelligence evaluation method based on nonlinear neural network

An artificial intelligence and evaluation method technology, applied in biological neural network models, transmission systems, neural architectures, etc., can solve problems such as intelligent quantitative evaluation of smart city systems, and achieve high accuracy, reduce costs, and improve accuracy.

Inactive Publication Date: 2017-12-08
四川省电科互联网加产业技术研究院有限公司
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the technical problem existing in the prior art that the intelligent quantitative evaluation of the smart city system cannot be performed

Method used

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  • Smart city system artificial intelligence evaluation method based on nonlinear neural network
  • Smart city system artificial intelligence evaluation method based on nonlinear neural network
  • Smart city system artificial intelligence evaluation method based on nonlinear neural network

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Embodiment 1

[0041] This embodiment provides an artificial intelligence evaluation method for a smart city system based on a nonlinear neural network. The artificial intelligence evaluation method for a smart city system is based on a smart city system. The smart city system includes at least one data information collection terminal and a data information collection terminal. A control device through I / O communication, a terminal controlled by the control device, a remote server and a data communication device for data communication, the smart city system also includes a timing device, and the artificial intelligence evaluation method includes:

[0042] Step 1: Create an initial database;

[0043] Step 2: Preprocess the initial database to obtain the prediction database;

[0044] Step 3: According to the prediction database, according to the nonlinear autoregressive network with external input, establish a nonlinear autoregressive smart city system performance prediction model p(t) about t...

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Abstract

The present invention relates to a smart city system artificial intelligence evaluation method based on a nonlinear neural network which solves the technical problem that the intelligence quantitative evaluation cannot be carried out on a smart city system. By adopting the technical scheme of establishing an initial database; pre-processing the initial database to obtain a prediction database; according to the prediction database and a non-linear autoregression network with the external input, establishing a non-linear autoregression smart city system performance prediction model p(t) about time series; according to the non-linear autoregression smart city system performance prediction model p(t), exciting a function and training an algorithm, carrying out the real-time non-linear autoregression smart city system performance prediction, and inputting the performance prediction results in the initial database, the method solves the problem better, and can be used for the smart city system performance evaluation.

Description

technical field [0001] The invention relates to the field of smart city systems, in particular to an artificial intelligence evaluation method for smart city systems based on a nonlinear neural network. Background technique [0002] The concept of smart city is developed from digital city. China widely cited the concept of smart city in 2010. Simply put, smart city is formed by digital city + Internet of Things + cloud computing. Of course, this is just a generalization of smart city In fact, smart cities are mainly reflected in "wisdom", which makes life more harmonious, natural, energy-saving and efficient! At the same time, the development of the smart city management system is particularly important. The research and development of the smart city management system can not only promote the development of the city, but also, the functions displayed by the smart city management system can make people accept such a concept. However, there is currently no clear method for ev...

Claims

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Application Information

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IPC IPC(8): H04L12/24G06N3/04
CPCH04L41/145H04L41/147G06N3/048
Inventor 陆川张明邹佩良
Owner 四川省电科互联网加产业技术研究院有限公司
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