15-01-2013, 04:42 PM
Neural Network Applications
Neural Network Applications.ppt (Size: 5.32 MB / Downloads: 31)
Introduction
An Artificial Neural Network is a network of many very simple processors, each possibly having a local memory.
The units are connected by unidirectional communication channels, which carry numeric data.
The units operate only on their local data and on the inputs they receive via the connections.
There are many different types of Neural Networks, each of which has different strengths particular to their applications.
The abilities of different networks can be related to their structure, dynamics and learning methods.
Applications Showcase
Control of Pursuit & Evasion
Learning the Distribution of Object Trajectories for Event Recognition
Radiosity for Virtual Reality Systems
Autonomous Walker & Swimming Eel
Robocup: Robot World Cup Using
HMM's for Audio-to-Visual Conversion
Artificial Life: Galapagos
Speechreading (Lipreading)
Detection and Tracking of Moving Targets
Real-time Target Identification for Security Applications
Facial Animation
Behavioral Animation and Evolution of Behavior
A Three Layer Feedforward Neural Network
Artificial Life for Graphics, Animation, Multimedia, and Virtual Reality: Siggraph '95 Showcase
Creatures: The World Most Advanced Artificial Life!
Autonomous Walker & Swimming Eel
On the left, the research involves combining biology, mechanical engineering and information technology in order to develop the techniques necessary to build a dynamically stable legged vehicle controlled by a neural network.
On the right, a simulation of the swimming lamprey (eel-like sea creature), driven by a neural network.