The conception is put forward definitely. Chemistry learning strategy is the chemistry-learning manner or process to accommodate learning activities and the choice and using of learning methods in order to achieve certain learning purpose.
Experimental Group One and Control Group learned the materials of Experimental Group and Control Group. When Group two were learning, we didn' t tell them that they were going to have a test, only explained to them the study method and introduced the difference of two kinds of knowledge points. They were going to be given a test after the same period of time.
The main content of the questionnaire related to six parts: Part I , from studying interest, learning motivation, studying habit, studying method and learning ability, high school student's psychological state to learn biology is reflected;
The historical phenomenon that the modern Chinese teaching has reformed many times and failed too for one more hundred years makes us think about its. Of course, the main reason is that people just is limited into the repairing of the Chinese internal studying method and the adjustment of the studying page.
Scientific Investigation is not only an important studying method but also an important content of chemistry in compulsory education period. It includes: asking questions, suspecting and hypothesis, making plans, doing experiment, collecting evidence, explanation and conclusion, introspection and evaluation, expression and communication and so on.
Linearization learning method of BP neural networks
This paper proposes a learning method linearizing non-linearity of the activation function and discusses its merits and demerits theoretically.
We proposed a new procedure to classify human tumor samples based on microarray gene expressions by using a hybrid supervised learning method called MOEA+WV (Multi-Objective Evolutionary Algorithm+Weighted Voting).
Also, a new cooperative learning method called weighted strategy sharing (WSS) is introduced.
The concept of function link, learning method of functional-link neural network and the establishment process of neural network model were studied in detail.
In addition, statistical learning methods, not yet applied in particle physics, are presented and some new applications are suggested.
Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues.
The discretization method presented in this paper can also be used as a data pretreating step for other symbolic knowledge discovery or machine learning methods other than rough set theory.
Application of bayesian network learning methods to land resource evaluation
Through intensive simulations on a truss construction task, we found that our reinforcement learning methods have great potential to contribute towards fail-safe design for multiple space robots in the above case.