Learning and Motivation 33, 46–doi:lmot, available online at http://www.idealibrary.com on A Test of Gibbon’s Feedforward Model of Matching C. R. Gallistel and Terence A. Mark University o

Source URL: www.gatsby.ucl.ac.uk

Approach to relocate sampled zeros for feedforward control application Takuya Sogo and Masafumi Joe Department of Mechanical Engineering, Chubu University, Aichi, Japan

Source URL: www-mech.chubu.ac.jp

Deep Belief Networks for phone recognition Abdel-rahman Mohamed, George Dahl, and Geoffrey Hinton Department of Computer Science University of Toronto {asamir,gdahl,hinton}@cs.toronto.edu

Source URL: www.cs.utoronto.ca

• Science
• Boltzmann machine
• Speech recognition
• Backpropagation
• Hidden Markov model
• Feedforward neural network
• Pattern recognition
• Markov chain
• DBN
• Neural networks
• Statistics
• Machine learning

IEEE/ASME TRANSACTIONS ON MECHATRONICS Lift Force Control of Flapping-Wing Microrobots Using Adaptive Feedforward Schemes 1

Source URL: micro.seas.harvard.edu

• Signal processing
• LTI system theory
• Z-transform
• Minimum phase
• State space
• Amplitude modulation
• Digital control
• Linear system
• Comb filter
• Control theory
• Systems theory
• Cybernetics

Human-inspired Walking via Unified PD and Impedance Control Wen-Loong Ma1 , Hui-Hua Zhao1 , Shishir Kolathaya1 and Aaron D. Ames2 Abstract— This paper describes a torque control scheme unifying feedback PD control and

Source URL: www.bipedalrobotics.com

• Science
• Physical quantities
• Torque
• Robotics
• Feedforward control
• Control theory
• Humanoid robot
• PID controller
• Motion planning
• Physics
• Rotation
• Systems theory

Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities Paul J. Werbos1 Abstract Backwards calculation of derivatives – sometimes called the reverse mode, the full adjoint method, or backpropa

Source URL: www.werbos.com

• Mathematics
• Neuroscience
• Backpropagation
• Artificial neural network
• Automatic differentiation
• Multilayer perceptron
• Perceptron
• Derivative
• Feedforward neural network
• Neural networks
• Computational neuroscience
• Cybernetics

Session Title: [TuG2] 14 : Micro/Smart Grid (2) Date:

Source URL: www.icpe2015.org

• Automation
• Feedforward control
• Korea
• Asia
• Divided regions
• Political geography

The Incoherent Feedforward Loop Can Provide Fold-Change Detection in Gene Regulation

Source URL: www.weizmann.ac.il

• Network motif
• Transcription factor
• Promoter
• Activator
• Regulation of gene expression
• Transcriptional regulation
• Feedback
• Signal transduction
• Transcription
• Biology
• Gene expression
• Biochemistry

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto, Ontario, Canada.

Source URL: www.cs.toronto.edu