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Efficient Working Memory Maintenance via High-Dimensional Rotational Dynamics
Ritter L, Chadwick A.
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2021
The feedforward neural network is the most fundamental type of neural networks from historical viewpoint and its wide applicability. This chapter discusses several aspects of this type of neural network in detail. Section 2.1 describes its fundamental structure and algorithm, Sect. 2.2 various types of layers, Sect.
Genki Yagawa, Atsuya Oishi
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The feedforward neural network is the most fundamental type of neural networks from historical viewpoint and its wide applicability. This chapter discusses several aspects of this type of neural network in detail. Section 2.1 describes its fundamental structure and algorithm, Sect. 2.2 various types of layers, Sect.
Genki Yagawa, Atsuya Oishi
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Predictive feedforward control
2016 12th IEEE International Conference on Control and Automation (ICCA), 2016Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed.
Xian Li +4 more
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2014
Feedforward refers to the transition from briefing to designing in ways that enrich the design with information from the brief (one assumes that a better-informed designer can achieve higher performance than an uninformed one). The first possibility for feedforward that is discussed is the use of the requirements graph in designing, including the ...
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Feedforward refers to the transition from briefing to designing in ways that enrich the design with information from the brief (one assumes that a better-informed designer can achieve higher performance than an uninformed one). The first possibility for feedforward that is discussed is the use of the requirements graph in designing, including the ...
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2021
Feedforward is an educational strategy in which a professor gives orientations to students, prior to a certain task or assessment, in order to show them how to perform well in that upcoming task. This chapter explores the contribution of screencasts as one possible solution to providing feedforward.
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Feedforward is an educational strategy in which a professor gives orientations to students, prior to a certain task or assessment, in order to show them how to perform well in that upcoming task. This chapter explores the contribution of screencasts as one possible solution to providing feedforward.
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Multiclass Feedforward Networks
2001In a feedforward network, jobs after service completion at a station can be routed only to a downstream station. Other than this restriction on routing, the network has more features than the generalized Jackson network studied in Chapter 7. In particular, jobs at each station come from different classes, with different service time distributions, and ...
Hong Chen, David D. Yao
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2018
In Chapter 2, we did some amazing things with one neuron, but that is hardly flexible enough to tackle more complex cases. The real power of neural networks comes to light when several (thousand, even million) neurons interact with each other to solve a specific problem. The network architecture (how neurons are connected to each other, how they behave,
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In Chapter 2, we did some amazing things with one neuron, but that is hardly flexible enough to tackle more complex cases. The real power of neural networks comes to light when several (thousand, even million) neurons interact with each other to solve a specific problem. The network architecture (how neurons are connected to each other, how they behave,
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2020
In recognizing that effective feedback and pedagogical approaches that support social interaction in learning are vital to students' achievement, this chapter focuses on students' need to be actively involved in their learning and assessment. It reports research into how undergraduate education students utilized assessment feedback.
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In recognizing that effective feedback and pedagogical approaches that support social interaction in learning are vital to students' achievement, this chapter focuses on students' need to be actively involved in their learning and assessment. It reports research into how undergraduate education students utilized assessment feedback.
openaire +1 more source