Titlebook: Sequence Learning; Paradigms, Algorithm Ron Sun,C. Lee Giles Book 2001 Springer-Verlag Berlin Heidelberg 2001 algorithms.behavior.biologica

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书目名称Sequence Learning影响因子(影响力)




书目名称Sequence Learning影响因子(影响力)学科排名




书目名称Sequence Learning网络公开度




书目名称Sequence Learning网络公开度学科排名




书目名称Sequence Learning被引频次




书目名称Sequence Learning被引频次学科排名




书目名称Sequence Learning年度引用




书目名称Sequence Learning年度引用学科排名




书目名称Sequence Learning读者反馈




书目名称Sequence Learning读者反馈学科排名

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Time in Connectionist Modelsconnectionist models have appeared and constitute a continuously growing research field. The purpose of this chapter is to present the main aspects of this research area and to review the key connectionist architectures that have been designed for solving temporal problems.

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Book 2001veryday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and

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Attentive Learning of Sequential Handwriting Movements: A Neural Network Model a series of distinct segments that may be quite irregular both in space and time, but a practiced movement can be made smoothly, with a continuous, often bell-shaped, velocity profile. How does learning of sequential movements transform reactive imitation into predictive, automatic performance?

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