In the work principles and standards for school mathematics: discussion draft, the NCTM constituted a set of six principles: equity principle, mathematical curriculum principle, teaching principle, learning principle, assessment principle and technology principle.

Through his lifelong practices and learning, he achieves great knowledge, and accumulates valuable experiences of learning in relation to the learning purpose, learning principle, learning attitude, learning methodology, learning time, learning curriculum, and lifelong learning.

The new basic educational curricula reforms advocate that the teaching of courses should face to all students, train students to do research work by themselves, and that a learning principle that benefits students as a lifelong education.

Based on the case study, some principles have been suggested to guide language learning and teaching, that is, tolerance principle, inference principle and integrative learning principle.

While they were doing their researches in the modern Chinese language teaching, the Chinese language learning researchers started to probe in the modern Chinese language leaning and conducted successful explorations in such respects as the Chinese language learning objectives, the learning principles and learning methods. \;

Support vector machine (SVM) is a new statistical learning method. Compared with the classical machine learning methods, the learning discipline of SVM is to minimize the structural risk instead of empirical risk used in the learning discipline of classical methods,and SVM gives better generative performance.

The research advance in brain science about the learning areas and the learning mechanism as well as learning principles in the brain offer theoretical support to reorient teaching and rethink the function of teaching.

First at all, this thesis analyzes some teaching theories and their instructional design associating with distance network instruction, especially some characteristics and learning principles as well as teaching patterns of distance network instruction based on constructionism, which focuses on students-centered learning under teachers' guides.

By doing these, the goal is to introduce the learning findings in brain science into teaching field, and to make teaching based on brain science, and to construct teaching theory and teaching practice according with the running rules and the learning principles of human brain, eventually to form a new type of teaching based on the brain.

While they were doing their researches in the modern Chinese language teaching, the Chinese language learning researchers started to probe in the modern Chinese language leaning and conducted successful explorations in such respects as the Chinese language learning objectives, the learning principles and learning methods. \;

the third part, design of material of those kinds of learning from mathematical example and the study of principle on learning from mathematical example.

In this paper the reason for establishing the principles of school mathematics learning is discussed . On the base of analyzing the process of mathematics learning and examining the subjective and objective factors which influence mathematics learning ,we put forward six principles of the learning .

From the basic theory of pedagogy and psychology, this paper has emphasized the principle of learning marine engineering English vocabulary hard to learn with flexible memory.

Mutual inhibition between neurons combined with a learning principle similar to that proposed by Hebb is shown to secure a powerful selforganizing property for neural networks.

Combining the "self-organizing cells" and the learning principle of a Perceptron-type system, we constructed a model of the whole visual system.

Although the basic methods are now reasonably well understood, it is precisely the structural simplicity of the reinforcement learning principle - learning through experimentation - that causes these excessive demands on the learning agent.

A number of recent attempts have been made by neobehaviorists to resolve the "neurotic paradox" by incorporating a nontraditional learning principle.

Our results demonstrate that a single unsupervised learning principle can account for such a rich repertoire of receptive field properties.

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.

Traditional physiotherapy management has focussed on improving impairment; however, there are no trials with emphasis on skill acquisition via motor re-learning principles.

From a general theory of adaptive linear filters, learning principles for these modifiable connections are derived.

By these learning principles, a Purkinje cell output converges to the "desired response" to minimize the mean square error of the performance.

Making departmental changes through action research, based on adult learning principles

Action research was used as a means of introducing adult learning principles into the teaching of an optometry department.

In this paper,the author analyses the characteri-stics of the knowledge structure of clinical deputychief doctors in our country to day,proceeding fromthe demands on medical scientists and technicians ofthe development of modern medicine and pointsemphatically out the importance and urgency forthem,and also holds that the continuing medicaleducation for clinical deputy chief doctors ought tobe developed in the direction of high-class gradation,great learning and ability and specialization.Fundamental rules should...

In this paper,the author analyses the characteri-stics of the knowledge structure of clinical deputychief doctors in our country to day,proceeding fromthe demands on medical scientists and technicians ofthe development of modern medicine and pointsemphatically out the importance and urgency forthem,and also holds that the continuing medicaleducation for clinical deputy chief doctors ought tobe developed in the direction of high-class gradation,great learning and ability and specialization.Fundamental rules should carry out the continu-ing medical education for clinical deputy chief doc-tors as follows:bringing the direct functions of tutors into full play;adhereing study by oneself:combin-oneself in the course of scientific medical researching study with clinical practice closely;temperingoneself in the course of scientific medical researchwork;promoting specialistic informations exchangeactively;consummating oneself in guiding juniordoctors.Besides,overall planning and synthetical admini-stration must be practiced in the course of C.M.E.for them.Finally,suggestion for comprehensive evaluationof educational achievement is also made in this paped.

In this paper the reason for establishing the principles of school mathematics learning is discussed . On the base of analyzing the process of mathematics learning and examining the subjective and objective factors which influence mathematics learning ,we put forward six principles of the learning .

Based on the brief analysis and discussion on Back-Propegntion algorithm of multi-layered neural networks,this peper Proposes an improved learning algorithm of optimal step. This algorithm determines the step which revises the connecting data between neural units by the learning principle that the input studying sample can produce the mast limited network error. The result of experiment proves that this algorithm can accelerate the learning convergent rate effectually.