The Mechanism And Significance Of Artificial Neural Network Pattern Recognition

This paper will study the science of artificial intelligence from the perspective of philosophy,take the learning process of artificial neural network pattern recognition as the object of study,and discuss the regulation mechanism of unsupervised learning from the perspective of philosophy,so as to solve the eye-catching problems caused in the development of artificial intelligence.By comparing the different learning stages of supervised learning and unsupervised learning,it is pointed out that experience and data are the key to pattern recognition by human and computer,and the process and method of artificial neural network pattern recognition and human pattern recognition are clarified from the basis of production.By combining the pattern recognition method of artificial neural network with the study of ancient problem wisdom of philosophy discipline,this paper enriches the research field of artificial intelligence science.In this research process,it tries to find a new perspective and new approach to study philosophical problems.First of all,this article from the principle of artificial neural network pattern recognition,on the basis of biological neural network pattern recognition and artificial neural network pattern recognition process,the artificial neural network pattern recognition has the characteristics of adaptability,fault tolerance and accommodative,these characteristics accord with the characteristics of the pattern recognition of the human brain,so the machine recognition of data can be converted to the human experience of pattern recognition,artificial intelligence science wisdom become one of the research object.In addition,the human brain has the unique ability of self-protection and self-consciousness,and can learn autonomously in an unsupervised environment.For artificial intelligence,it is necessary to conduct mathematical algorithms in the external supervised environment,and discuss the different learning and training processes of artificial intelligence and human intelligence in the process of patternrecognition from the differences between supervised learning and unsupervised learning.Secondly,the mechanism of artificial neural network pattern recognition is discussed.The research on pattern recognition of artificial neural network focuses on the imitation of human thinking process and behavior ability,and predicts the future development trend of artificial intelligence on the basis of imitation.During the development of artificial intelligence,pattern recognition of artificial neural network plays a very important role.Artificial intelligence is mainly a process of selecting,analyzing and judging the features in the information by using big data to obtain the complicated project category information and using pattern recognition.As the core of artificial intelligence is algorithm,pattern recognition of artificial neural network is a process of extracting hidden,unknown,uncertain and random data with deep value,which people cannot know in advance.This recognition process is also regarded as the most important and promising method in pattern recognition system.Taking supervised learning and unsupervised learning as examples,this paper discusses pattern recognition,pattern adjustment and learning process to prove the intelligence,organization and adaptability of the algorithm.According to the process of pattern recognition,experience is the main basis of pattern recognition,and artificial intelligence is based on data.Based on data and experience,two different ways of acquiring information,some ai pessimists believe that ai will largely surpass the functionality of the human brain,and some even threaten the survival status of human beings.With the rapid development of artificial intelligence,researchers are not only surprised,but also need to constantly reflect and review what kind of intelligence artificial intelligence created by human beings is,and whether its existence and development will replace the survival and development of human beings,which need to be verified and analyzed to draw conclusions.Finally,based on the understanding of pattern recognition mechanism of artificialneural network,the existence premise of artificial intelligence and human intelligence is discussed,and the main difference between artificial intelligence and human intelligence is whether external supervision is needed.Although data serves as the basis for artificial intelligence to solve practical problems,it is generated by mathematical logic symbols and the supply of artificial data sets.And in real life,there is no such a supervisor to give supervision.Therefore,as the subject with self-consciousness,human beings should improve their way of thinking and behavior.Through thinking about these problems,new understanding of the boundary between artificial intelligence and human intelligence is developed,which is an essential element for regulating the development of artificial intelligence.