| Issue |
E3S Web Conf.
Volume 145, 2020
2019 International Academic Exchange Conference on Science and Technology Innovation (IAECST 2019)
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 5 | |
| Section | International Conference on Biotechnology and Food Science | |
| DOI | https://doi.org/10.1051/e3sconf/202014501040 | |
| Published online | 06 February 2020 | |
Research on the emotional cognitive evaluation model based on artificial neural network
School of Educational Science, Wenshan University, Wenshan 663000, Yunnan, China
* Corresponding author’s e-mail:
the neural network, fuzzy set theory and evolutionary algorithm in artificial intelligence are all intelligent information processing theories that follow the biological processing mode. These theories are realized by rational logical thinking mode without considering the role of human perceptual thinking in the information processing process, such as emotion and cognition. Among them, the neural network mainly imitates the function of the mental system of human, adopts the method from the bottom to the top, and processes the difficult language pattern information through a large number of complicated connections of neurons. Artificial neural network (Ann) is a cross research field of artificial intelligence and life science. This theory mainly imitates the information processing mechanism of organisms in nature and is mainly used in intelligent information processing systems that can adapt to long-term changes in the environment. Therefore, neural network has important application significance in the research of intelligence, robot and artificial emotion.
© The Authors, published by EDP Sciences 2020
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