In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the d...In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the dangers of animals in the early stages of evolution is regarded as the basis of time series data processing.The module that performs the processing is presented by a neural network equipped with a learning function based on Hebb's rule,and is called a basic unit.The basic units are arranged in layers,and the information between the layers is bidirectional.This new neural network is an extension of the traditional neural network that has evolved from pattern recognition.The biggest feature is that in the processing of time series data,the activated part changes according to the context structure inherent in the data,and can be mathematically expressed the method of predicting events from the context of learned behavior and utilizing it in best action.展开更多
What every brick is for grande building,vocabulary is for the foundation laid for the acquisition of one language.It follows that authentic expressions are justified by the mastery of its application in a specific con...What every brick is for grande building,vocabulary is for the foundation laid for the acquisition of one language.It follows that authentic expressions are justified by the mastery of its application in a specific context.Therefore,it is crucial to delve into the process of vocabulary acquisition,that is,the effect of students’input and output.Words’meanings varied in distinct contexts.Starting from the above two aspects,this paper illustrates the understanding of learning words through examples,so as to optimize the word learning method to achieve twice the result with half the effort.展开更多
文摘In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the dangers of animals in the early stages of evolution is regarded as the basis of time series data processing.The module that performs the processing is presented by a neural network equipped with a learning function based on Hebb's rule,and is called a basic unit.The basic units are arranged in layers,and the information between the layers is bidirectional.This new neural network is an extension of the traditional neural network that has evolved from pattern recognition.The biggest feature is that in the processing of time series data,the activated part changes according to the context structure inherent in the data,and can be mathematically expressed the method of predicting events from the context of learned behavior and utilizing it in best action.
文摘What every brick is for grande building,vocabulary is for the foundation laid for the acquisition of one language.It follows that authentic expressions are justified by the mastery of its application in a specific context.Therefore,it is crucial to delve into the process of vocabulary acquisition,that is,the effect of students’input and output.Words’meanings varied in distinct contexts.Starting from the above two aspects,this paper illustrates the understanding of learning words through examples,so as to optimize the word learning method to achieve twice the result with half the effort.
