Results 41 to 50 of about 76,073 (214)
Basic feedforward (FF) architecture. Layers are fully connected in the feedforward direction (every node at the inferior level has a tunable, weighted connection to every node at the superior level). Vertical dots stand for nodes from 2 to n-1, which are
James Magnuson (4819524)
core +1 more source
Predicting changes in osmolality
Two neural circuits control the release of vasopressin in response to eating and drinking before there are any detectable changes in blood water levels.
Zhe Yang, Tongtong Wang, Yuki Oka
doaj +1 more source
This is an improvised, from-scratch live coding performance. The NIME interface which this performance showcases is the new Feedfoward editor for the TidalCycles live coding environment. Feedforward is written in Haskell using the ncurses library for terminal-based user interfaces.
openaire +2 more sources
Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ren, Xuemei +10 more
core +1 more source
A Second-Order Single Loop Oversampling Analog-to-Digital Converter (ADC) with Proposed Hybrid Feedforward/Feedback Architecture [PDF]
This paper proposes hybrid architecture of feedforward/feedback second order single-loop modulator for high resolution analog-to-digital converter (ADC) applications. Different techniques for oversampling modulator are discussed.
Hasan M. Azzawi
doaj +1 more source
Predicted evaporation in Basrah using artificial neural networks
Accurate evaporation estimation is crucial for managing hydrologic, hydraulic, and agricultural systems, among many other applications of water resources. Empirical formulae for estimating evaporation exist, but their performance is not always sufficient
Hamza Zuhal Abdul Hadi
doaj +1 more source
A selective learning method to improve the generalization of multilayer feedforward neural networks. [PDF]
Multilayer feedforward neural networks with backpropagation algorithm have been used successfully in many applications. However, the level of generalization is heavily dependent on the quality of the training data.
Galván, Inés M. +3 more
core
Multivariable fuzzy feedforward compensation [PDF]
This work deals with some practical aspects of fuzzy PID controllers regarding multivariable non-linear feedforward compensation. This contribution concerns to the task of compensation for multivariable disturbances on the controlled variable.
Ferreiro García, Ramón +5 more
core +1 more source
Energy Saving in Ship Central Cooling Systems: IMC-Tuned PID with Feedforward Control
This study examines the energy savings in a ship’s central cooling system using feedforward control with IMC (Internal Model Control)-based PID tuning.
Tae-Youl Jeon, Young-Chan Lee
doaj +1 more source
Near-Optimal Control for Offshore Structures with Nonlinear Energy Sink Mechanisms
To improve the safety and reliability of offshore structures subject to wave loading, the active vibration control problem is always one of significant issues in the field of ocean engineering.
Wei Chen +4 more
doaj +1 more source

