Results for neural networks

Sort by:
Category:
1-9 of 9
Page
Assembly Sequence Planning Using Neural Network Approach

Assembly Sequence Planning Using Neural Network Approach

Cem Sinanoglu, Huseyin Riza Borklu | Robotics (Academic)
Rating:     Rated: 0 times
Format: PDF

The use of neural network approach in the planning of the sequence to augment existing methods and tools for product development and manufacturing.

Applications of Recurrent Neural Networks to Optimization Problems

Applications of Recurrent Neural Networks to Optimization Problems

Alaeddin Malek | Mathematics
Rating:     Rated: 2 times
Format: PDF

A brief insight on applications of recurrent neural networks to general optimization problems in diverse fields such as mechanical, electrical and industrial engineering, operational research, management sciences, computer sciences, system analysis, economics, medical sciences, manufacturing...


The Artificial Neural Networks Applied to Servo Control Systems

The Artificial Neural Networks Applied to Servo Control Systems

Yuan Kang, Yi-Wei Chen, Ming-Huei Chu, Der-Ming Ch | Engineering
Rating:     Rated: 0 times
Format: PDF

A study in the applications of direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to the speed control of DC servo motor.

New Model and Applications of Cellular Neural Networks in Image Processing

New Model and Applications of Cellular Neural Networks in Image Processing

Radu Matei | Technology
Rating:     Rated: 0 times
Format: PDF

A study in the new developments and usage of Cellular Neural Networks (a parallel computing paradigm were communication is allowed only between neighboring units) for application to image processing.

A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain

A New Supervised Learning Algorithm of Recurrent Neural Networks and L2 Stability Analysis in Discrete-Time Domain

Wu Yilei, Yang Xulei, Song Qing | Mathematics
Rating:     Rated: 1 times
Format: PDF

A study to develop robust learning algorithms with variable or adaptive learning coeficients to obtain a tradeoff between the stability and fast convergence speed.


Adaptive Control for a Class of Non-affine Nonlinear Systems via Neural Networks

Adaptive Control for a Class of Non-affine Nonlinear Systems via Neural Networks

Zhao Tong | Engineering
Rating:     Rated: 0 times
Format: PDF

An overview on general classes of nonlinear systems based on mathematical theories and Lyapunov stability theories developed for applications to a controlled plant in a class of non-affine nonlinear implicit function and smooth with consideration to the control input.

Distributed Architecture for Intelligent Robotic Assembly Part III: Design of the Invariant Object Recognition System

Distributed Architecture for Intelligent Robotic Assembly Part III: Design of the Invariant Object Recognition System

Mario Pena Cabrera, Ismael Lopez Juarez | Robotics (Academic)
Rating:     Rated: 0 times
Format: PDF

A summary on the methodology used for on-line object recognition, based on artificial neural networks for identification and classification purposes. Robust algorithms for perimeter, centroid calculations, object functions and pose estimation bare presented.

Neuro-Inspired Speech Recognition Based on Reservoir Computing

Neuro-Inspired Speech Recognition Based on Reservoir Computing

Arfan Ghani | Technology
Rating:     Rated: 0 times
Format: PDF

A paper that investigates the potential of recurrent spiking neurons for classification problems. It presents a hybrid approach based on the paradigm of Reservoir Computing. The practical applications based on recurrent spiking neurons are limited due to the lack of learning algorithms. Most of...


Sliding Mode Control of Robot Manipulators via Intelligent Approaches

Sliding Mode Control of Robot Manipulators via Intelligent Approaches

S. Ehsan Shafiei | Robotics (Academic)
Rating:     Rated: 0 times
Format: PDF

A paper that addresses the sliding mode control (SMC) of n-link robot manipulators by using of intelligent methods including fuzzy logic and neural network strategies. Three control strategies were used. In the first was the design of a sliding mode control with a PID loop for robot manipulator...

1-9 of 9