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Found 7 papers, 0 papers with code
A Framework for Knowledge Integrated Evolutionary Algorithms
Notably, the KIEA framework is EA-agnostic (i. e., it works with any evolutionary algorithm), problem-independent (i. e., it is not dedicated to a specific type of problems), expandable (i. e., its knowledge base can grow over time).
An Adaptive Multi-Agent Physical Layer Security Framework for Cognitive Cyber-Physical Systems
With the advancement of the machine learning algorithms, the transmission scheme providing the best performance can be utilized to sustain a reliable network of CCPS agents equipped with self-decision mechanisms, where the interactions between each agent are modeled in terms of service quality, security, and cost dimensions.
EVO-RL: Evolutionary-Driven Reinforcement Learning
Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to different environments.
Dataflow Aware Mapping of Convolutional Neural Networks Onto Many-Core Platforms With Network-on-Chip Interconnect
Our mapping strategy and system setup is scaled starting from the single core level up to 128 cores, thereby showing the limits of the selected approach.
Automated design of error-resilient and hardware-efficient deep neural networks
It is thus desirable to exploit optimization potential for error resilience and efficiency also at the algorithmic side, e. g., by optimizing the architecture of the DNN.
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
In recent years, neural networks have surpassed classical algorithms in areas such as object recognition, e. g. in the well-known ImageNet challenge.
Efficient Stochastic Inference of Bitwise Deep Neural Networks
Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight.
