Neural network tree (NNTree) is a hybrid learning model withthe overall structure being a decision tree (DT), and each non-terminal node containing an expert neural network (ENN). Generally speaking, NNTrees outperfo...
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(纸本)0769522491
Neural network tree (NNTree) is a hybrid learning model withthe overall structure being a decision tree (DT), and each non-terminal node containing an expert neural network (ENN). Generally speaking, NNTrees outperform conventional DTs because more complex and possibly better features can be extracted by the ENNs. So far we have studied several genetic algorithms (GAs) for designing the NNTrees. these algorithms are computationally expensive, and the NNTrees obtained are often very large. In this paper, we propose a new approach based on the R/sup 4/-rule, which is a non-genetic evolutionary algorithm proposed by the author several years ago. the key point is to propose a heuristic method for defining the teacher signals for the examples assigned to a non-terminal node. Once the teacher signals are defined, the ENNs can be trained quickly using the R/sup 4/-rule. Experiments with several public databases show that the new approach can produce smart NNTrees quickly and effectively.
the overview presents the development and application of Hierarchical Temporal Memory (HTM). HTM is a new machinelearning method which was proposed by Jeff Hawkins in 2005. It is a biologically inspired cognitive met...
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the overview presents the development and application of Hierarchical Temporal Memory (HTM). HTM is a new machinelearning method which was proposed by Jeff Hawkins in 2005. It is a biologically inspired cognitive method based on the principle of how human brain works. the method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near future. this overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.
the Science, Technology, Engineering, and Math (STEM) "pipeline" that is imagined to guide students from middle school into successful STEM careers implies a single path. this path often requires students to...
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the Science, Technology, Engineering, and Math (STEM) "pipeline" that is imagined to guide students from middle school into successful STEM careers implies a single path. this path often requires students to develop an interest in STEM by middle school, choose particular math and science courses in middle- and high-school, and gain experience and exposure in STEM activities through their high school tenure. While successful for approximately 7% of students who entered 9th grade in 2001, this system has filtered out 93% of the population, including many students who might have had interest and potential to pursue STEM careers. Importantly, this pernicious systemic problem impacts students of color (African American, Hispanic American, American Indian and Alaska Native students) disproportionately. To address this challenge, Access Summer Program to Inspire Recruit and Enrich (ASPIRE) was designed to broaden the participation of students of color and students from economically disadvantaged backgrounds by inspiring and preparing them to pursue degrees in engineering and computing. ASPIRE is a two-week residential summer outreach program with emphasis on the engineering and technology components of STEM to prepare high-school students with 21st century skills of critical thinking, collaboration, and communication. the program provides students withthe confidence needed to enter the dynamic workforce of the future, which requires understanding of basic structure, materials and electrical design and computing. this program is guided by project-based learning, an experiential learning pedagogy that focuses on excitement, engagement, applying the scientific method and engineering process, and making a presentation to demonstrate mastery of these principles. ASPIRE introduces students to the fields of computer science and engineering. Students participate in hands-on group projects centered on the Internet-of-things. the experiential learning experience provides students e
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