Research on the Reform of the Course“Reading of Concrete Structure Plan and Construction Drawings”Under the Background of“Promoting Teaching and Learning Through Competitions”

The inherent teaching approach can no longer meet the demands of society.In this paper,current issues within the teaching landscape of architectural engineering technology in higher vocational colleges as well as the policies and teaching demands that formed the basis of this model were analyzed.The study shows the importance of the implementation of the teaching model“promoting teaching and learning through competitions.”This model puts emphasis on the curriculum and teaching resources,while also integrating the teaching process and evaluation with competition.These efforts aim to drive education reform in order to better align with the objectives of vocational education personnel training,while also acting as a reference for similar courses.

Identification of Fuzzy System Via Fuzzy Competitive Learning Method

The paper presents an approach to identfying a fhzzy model composed of fuzzy-logic rules for a multi-in-put/single outpu system. The ther of fuzzy rules and membership functions of input variables are obtained by means of a fuzzy competitive lerning method with a validity criterion. This method avoids the complexity of system structure identilication and decreases the number of fuzzy rules. Recareive least square algorithm can be used to iden-tify the parameters of conclusion polynomials .The proposed method is used to identify the well-known Box-Jenkins da-ta set with the result shawn at the end of the paper to demonstrae its advanages.

A SPEECH RECOGNITION METHOD USING COMPETITIVE AND SELECTIVE LEARNING NEURAL NETWORKS

On the basis of asymptotic theory of Gersho, the isodistortion principle of vector clustering was discussed and a kind of competitive and selective learning method (CSL) which may avoid local optimization and have excellent result in application to clusters of HMM model was also proposed. In combining the parallel, self organizational hierarchical neural networks (PSHNN) to reclassify the scores of every form output by HMM, the CSL speech recognition rate is obviously elevated.

Research of Dynamic Competitive Learning in Neural Networks

Introduce a method of generation of new units within a cluster and aalgorithm of generating new clusters. The model automatically builds up its dynamically growinginternal representation structure during the learning process. Comparing model with other typicalclassification algorithm such as the Kohonen's self-organizing map, the model realizes a multilevelclassification of the input pattern with an optional accuracy and gives a strong support possibilityfor the parallel computational main processor. The idea is suitable for the high-level storage ofcomplex datas structures for object recognition.

Improvement of Stochastic Competitive Learning for Social Network

As an unsupervised learning method,stochastic competitive learning is commonly used for community detection in social network analysis.Compared with the traditional community detection algorithms,it has the advantage of realizing the time-series community detection by simulating the community formation process.In order to improve the accuracy and solve the problem that several parameters in stochastic competitive learning need to be pre-set,the author improves the algorithms and realizes improved stochastic competitive learning by particle position initialization,parameter optimization and particle domination ability self-adaptive.The experiment result shows that each improved method improves the accuracy of the algorithm,and the F1 score of the improved algorithm is 9.07%higher than that of original algorithm.

Image segmentation based on competitive learning

Image segment is a primary step in image analysis of unexploded ordnance (UXO) detection by ground p enetrating radar (GPR) sensor which is accompanied with a lot of noises and other elements that affect the recognition of real target size. In this paper we bring forward a new theory, that is, we look the weight sets as target vector sets which is the new cues in semi-automatic segmentation to form the final image segmentation. The experiment results show that the measure size of target with our method is much smaller than the size with other methods and close to the real size of target.

Learning Vector Coding Methods of ART1 and Their Applications

As one of the unsupervised learning models, ART1 has been widely used in data mining or other fields, while coding of it’s learning vector is very important. Their input vector coding methods and learning vector coding methods are described in detail. The corresponding applications are given.

企业E-Learning导入浅谈

介绍了企业E-Learning的概念,探讨了企业导入E-Learning的原因,阐述了什么样的企业需要导入E-Learning。

A STUDY OF METHODS FOR IMPROVING LEARNING VECTOR QUANTIZATION

Learning Vector Quantization(LVQ)originally proposed by Kohonen(1989)is aneurally-inspired classifier which pays attention to approximating the optimal Bayes decisionboundaries associated with a classification task.With respect to several defects of LVQ2 algorithmstudied in this paper,some‘soft’competition schemes such as‘majority voting’scheme andcredibility calculation are proposed for improving the ability of classification as well as the learningspeed.Meanwhile,the probabilities of winning are introduced into the corrections for referencevectors in the‘soft’competition.In contrast with the conventional sequential learning technique,a novel parallel learning technique is developed to perform LVQ2 procedure.Experimental resultsof speech recognition show that these new approaches can lead to better performance as comparedwith the conventional

Creating Optimal Language Learning Environment

From the viewpoint of psycholinguistics, this paper concerns how to create an optimal language learning environment in language learning, to stimulate students enthusiasm to participate in classroom activities and to make language learning easier and more pleasant.

Benefit to Chinese High School Students' Academic Learning Outcome and Evaluation by Comparing Two Different Assessment Systems

More and more researchers are becoming involved through a variety of actions and programs, which divides assessment into different branches(such as formative, summative, normative assessment, etc). In the present paper, I will try to emphasis that collaborative assessment is positive to high school students' learning outcome, and cooperative and competitive assessment should be mixture implemented in Chinese education process rather than only using competitive assessment to evaluate students' achievement. I hope that Chinese students and teachers could teach or test in the less pressure by reforming the educational evaluation system.

新能源汽车电池回收网点竞争选址模型及算法

针对考虑排队论的新能源汽车电池回收网点竞争设施选址问题,提出一种改进的人类学习优化(IHLO)算法。首先,构建包含排队时间约束、容量约束和门槛约束等条件的新能源汽车电池回收网点竞争设施选址模型;然后,考虑到该问题属于NP-hard问题,针对人类学习优化(HLO)算法前期收敛速度较慢、寻优精度不够高、求解稳定性不够高的不足,通过引入精英种群反向学习策略、团队互助学习算子和调和参数自适应策略提出IHLO算法;最后,以上海市和长江三角洲为例进行数值实验,并将IHLO算法和改进二进制灰狼(IBGWO)算法、改进二进制粒子群(IBPSO)算法、HLO算法和融合学习心理学的人类学习优化(LPHLO)算法进行比较。大、中、小三种不同规模的实验结果表明,IHLO算法在15个指标中的14个指标上表现最优,IHLO算法比IBGWO算法求解精度至少提高了0.13%,求解稳定性至少提高了10.05%,求解速度至少提高了17.48%。所提算法具有较高的计算精度和优化速度,可有效解决竞争设施选址问题。

以赛促学、以赛促教、以赛促改的教学模式改革——以“材料分析方法”课程为例

“材料分析方法”课程是材料成型及控制工程专业重要的专业基础必修课。课程依托国家一流专业建设,对标国家“双一流”和陕西省“四个一流”建设,针对课程目前存在的主要问题,采用参加学科竞赛与日常教学、课堂教学相结合培养创新人才的有效途径,以赛促学、以赛促教、以赛促改,调动了学生自主学习的兴趣,提高了学生团结协作能力;提升了教师的个人能力素质,促进了教育改革;优化整合了教学方式及途径等,让专业建设和思政建设同向同行,共同提高学生的创新能力,提升人才的培养质量。

实践创新能力驱动的化工人才培养模式构建与实施

以中北大学“化学工程与工艺”专业为例,构建“学训赛创”四元互促人才培养模式,在扎实的理论教学基础上,融入实验、实习、实训,并结合学科赛事,全面提升学生实践创新能力。实践结果表明,该模式强化了学生对复杂工程问题的处理能力,并显著提升了师资水平,为行业培养了工程创新人才,展现出良好的示范性和推广价值。

基于虚拟靶场的渗透测试实践教学机制探索

渗透测试实践教学是为信息安全相关专业学生开设的少数攻击类课程,是必不可少的教学环节。随着《中华人民共和国网络安全法》等法律法规的不断完善,渗透测试教学的实践模式需要不断创新。针对实践教学中资源和时间方面的难题,设计并实现基于OpenStack的虚拟靶场系统,从教学过程、教学方法 、考核方式等角度分别提出开放式线上线下混合教学、引导式基础实验过程、赛学融合的考核方式等具体改革方法,探索渗透测试实践教学的新机制。

“学训赛”理念下设计类专业课程融合教学实践——以包装设计与插画设计课程为例

在“双高计划”背景下,各高职学校积极发展学校特色。专业群建设是创新强校的关键环节,而“教”和“学”则是构建专业及专业群的核心重点。将“学训赛”理念融合贯通于专业群的核心课程,促进课程、专业、专业群的协同发展具有重要意义。本文以设计类专业中的包装设计课程和插画课程为例,探索专业课程在教学实践过程中的融合应用,以求达到高职学校人才培养质量全面提升的目的。

“产学研创赛”五位一体协同教育实践探索

本文针对高职院校对人才的的培养目标,结合石家庄职业技术学院实际情况,以汽车技术专业群为例,构建产教融合下“产学研创赛”五位一体的人才培养模式,将技能大赛、创新创业理念等融入课程体系,通过教学实践,探索与企业、学校、科研机构合作协同教育发展的新途径。

基于学科竞赛与产教融合的创新创业人才培养探讨

文章探讨了基于学科竞赛与产教融合的创新创业人才培养理念,介绍了竞赛活动在激发学生创新思维、提高学生实践能力方面的重要作用,分析了产教融合的必要性和优势,指出校企合作是推进产教融合的主要途径,并提出了培养创新创业人才的举措。以赛促学和产教融合是应对时代变革、满足经济发展需要的重要途径,有利于推动高等教育转型升级,也有助于培养具有创新能力和创业精神的人才。