Analysis of Computer Application Software Progress Technology Based on Artificial Intelligence Background
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| Publicat a: | The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2023) |
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The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2875568950 | ||
| 003 | UK-CbPIL | ||
| 024 | 7 | |a 10.1109/INDISCON58499.2023.10270640 |2 doi | |
| 035 | |a 2875568950 | ||
| 045 | 2 | |b d20230101 |b d20231231 | |
| 084 | |a 228229 |2 nlm | ||
| 100 | 1 | |a Pang, Jinlong |u Heilongjiang Polytechnic,Harbin,China,150100 | |
| 245 | 1 | |a Analysis of Computer Application Software Progress Technology Based on Artificial Intelligence Background | |
| 260 | |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |c 2023 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a Conference Title: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON)Conference Start Date: 2023, Aug. 5 Conference End Date: 2023, Aug. 7 Conference Location: Mysore, IndiaWith the complexity and diversification of computer systems and network technology, the whole world is more closely connected with the computer, application software. Due to computer system application scope is more and more widely, more and more in-depth, computer software system is becoming more and more complex. Therefore, in order to realize the automation, convenience and intelligence of computer application software progress Tech, AI technology is applied in it. Therefore, on the basis of the advantages of AI technology, this article first analyzes the role of AI neural network in improving the efficiency of user work and accurately identifying the threat factors that invade computer software, and then builds an automatic progress platform for computer application software. Users can input CNN parameters and hardware resource parameters through the graphical interface of software progress environment. Then the progress environment can automatically integrate the data structure of different types of parameters by analyzing the input parameters, and automatically construct processor-level network structure configuration information and instruction program. The software performance test shows that the computer application software designed by AI neural network has good performance, the accuracy rate is 97.6%, the loss function value is only 0.12, and the training time is only 6 minutes. Compared with the traditional artificial programming computer application software, the convergence speed is faster. It can be proved that the method of designing computer application software based on AI is effective and has high performance. | |
| 653 | |a Artificial intelligence | ||
| 653 | |a Software | ||
| 653 | |a Complexity | ||
| 653 | |a Microprocessors | ||
| 653 | |a Parameters | ||
| 653 | |a Data structures | ||
| 653 | |a Performance tests | ||
| 653 | |a Neural networks | ||
| 653 | |a Economic | ||
| 773 | 0 | |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings |g (2023) | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2875568950/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |