Intelligent Information Processing Based on Classical Logic and Applied Mechanics

2012 ◽  
Vol 214 ◽  
pp. 58-62
Author(s):  
Yan Xin Lu ◽  
Zi Qun Zhang
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Classical Logic ◽  
Research Field ◽  
Applied Mechanics ◽  
Important Research ◽  
Knowledge Reasoning ◽  
Intelligent Information Processing ◽  
Intelligent Information

Intelligent information processing is one of important research parts of knowledge reasoning as well as methods in artificial intelligence. In this paper, the application of classical logic in artificial intelligence for intelligent information processing is mainly studied, and also accurate definitions of mathematical statements are given with logic rules, thus laying a good foundation for the research field of computer intelligent information processing.

scholarly journals Research on the emotional cognitive evaluation model based on artificial neural network

2020 ◽  
Vol 145 ◽  
pp. 01040
Author(s):  
Qiying Gan
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Information Processing ◽  
Evaluation Model ◽  
Research Field ◽  
Intelligent Information Processing ◽  
The Neural Network ◽  
Artificial Neural ◽  
Intelligent Information

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 teaching reform of financial technology machine learning under the course group of intelligent information processing

2021 ◽  
pp. 002072092098354
Author(s):  
Han He ◽  
Dong Tian ◽  
Weiwei Liu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Processing ◽  
Science And Technology ◽  
Theoretical Research ◽  
Teaching Reform ◽  
Intelligent Information Processing ◽  
Intelligent Information ◽  
High Level ◽  
Financial Technology

Artificial intelligence is one of the most popular topics in today's era, and it is also an important development strategy of our country. In order to train high-level talents of artificial intelligence, the major of machine learning of financial science. China has gradually explored a set of relatively fixed teaching methods for the major of financial science and technology machine learning. However, in combination with the needs of the current era, industrial production puts forward higher requirements for the study of this major, It makes the traditional teaching method backward and unsuitable. In order to seek a more efficient teaching mode, it is urgent to reform the current teaching of financial technology machine learning. In this context, combined with the advanced teaching concept of intelligent information processing course group, this paper re plans the related courses of financial science and technology machine learning specialty, enhances the relevance between courses, enables the courses to connect and cooperate with each other, and forms a chain of excellent course group. strengthen the theoretical research, and strive to build a high-level teaching team to form a more three-dimensional and more close to the needs of the times. In order to investigate the rationality of the teaching reform, this paper carries on the verification analysis under the massive real data, obtains the reform method is scientific, is feasible through the analysis, and will play the positive role to the financial science and technology machine learning curriculum teaching reform under the intelligent information processing curriculum group.

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