Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-00913-2
Abstract: In neural networks, finding optimal values for the number of hidden neurons and connection weights simultaneously is considered a challenging task. This is because altering the hidden neurons substantially impacts the entire structure of a… read more here.
Keywords: hybrid encoding; encoding scheme; hidden neurons; neural networks ... See more keywords
Efficient Approximate Multiplier Design Based on Hybrid Higher Radix Booth Encoding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3229831
Abstract: Partial products of higher radix are approximated by partial product segmentation. The encoder skips few lower order bits to segment the partial products for approximation. For a particular type of approximation, one can have many… read more here.
Keywords: approximate multiplier; radix; multiplier design; hybrid encoding ... See more keywords