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Torresen, Jim - Department of Informatics, Universitetet i Oslo
Implementing Backpropagation Training on a Reconfigurable Computer Using Pipelining of the Training Patterns
An FPGA Implemented Processor Architecture with Adaptive Resolution Jim Torresen and Jonas Jakobsen
EXPLOITING MULTIPLE DEGREES OF BP PARALLELISM ON THE HIGHLY PARALLEL COMPUTER AP1000
A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal
Two-Step Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates
Scalable Evolvable Hardware Applied to Road Image Recognition Jim Torresen
Evolvable Hardware as a New Computer Architecture
Introduction N. Sundararajan
Parallel back propagation training algorithm for MIMD computer with 2Dtorus network
Implementing Evolution of FIR-Filters Efficiently in an FPGA Knut Arne Vinger and Jim Torresen
INCREASED COMPLEXITY EVOLUTION APPLIED TO EVOLVABLE HARDWARE
Implementation of Backpropagation Neural
Scalable Evolvable Hardware Applied to Road Image Recognition Jim Torresen
Efficient Image Filtering and Information Reduction in
An Evolvable Hardware Tutorial Jim Torresen
TwoStep Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates
HIGH PERFORMANCE COMPUTING BY CONTEXT SWITCHING RECONFIGURABLE LOGIC
General Mapping of FeedForward Neural Networks onto an MIMD Computer
Improving a Network Security System by Reconfigurable Hardware Shaomeng Li, Jim Torresen, Oddvar Srasen
EVOLVING BOTH HARDWARE SUBSYSTEMS AND THE SELECTION OF VARIANTS OF SUCH INTO AN ASSEMBLED SYSTEM
A CAMERA BASED SPEED LIMIT SIGN RECOGNITION SYSTEM
A Review of Parallel Implementations of
Reconfigurable Logic Applied for Designing Adaptive Hardware Systems
The relation of Weight Update Frequency to Convergence of BP Jim Torresen 1=2 , Shinji Tomita 1 , Olav Landsverk 2
A DivideandConquer Approach to Evolvable Hardware Jim Torresen
International Journal of Knowledge-based and Intelligent Engineering Systems 12 (2008) 187199 187 Incremental evolution of a signal
Recognizing Speed Limit Sign Numbers by Evolvable Jim Torresen1, Jorgen W. Bakke1 and Lukas Sekanina2
Exploring Knowledge Schemes for Efficient Evolution of Hardware Jim Torresen
Evolving Multiplier Circuits by Training Set and Training Vector Partitioning
A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal
Evolvable Hardware as a New Computer Architecture
A Variable Word-Width Content Addressable Memory for Fast String Matching
Exploiting Stateful Inspection of Network Security in Reconfigurable Hardware
A SIGNAL PROCESSING ARCHITECTURE BASED ON RAM TECHNOLOGY Jim Torresen
Reconfigurable Logic Applied for Designing Adaptive Hardware Systems
Efficient Recognition of Speed Limit Signs Jim Torresen, Jorgen W. Bakke and Lukas Sekanina
DETECTION OF NORWEGIAN SPEED LIMIT SIGNS Lukas Sekanina Jim Torresen
Exploiting Reconfigurable Hardware for Network Security Shaomeng Li, Jim Torresen, Oddvar Soraasen
Possibilities and Limitations of Applying Evolvable Hardware to RealWorld Applications
On-Chip Evolution Using a Soft Processor Core Applied to Image Recognition Kyrre Glette and Jim Torresen
A Signal Processing Architecture based on Evolving Digital Logic Gates