Method of Selecting an Optimal Activation Function in Perceptron for Recognition of Simple Objects recognition is proposed. The method of
selecting an optimal activation function from this family is presented
Smart Molecular Recognition: From Key-to-Lock Principle to Memory-Based Selectivity of inclusion compounds with a solid-solid phase transition may be very
selective to the guest molecular
Hierarchical Convolutional Neural Network for Handwritten Digits Recognition neural networks for the
recognition of handwritten digits is considered.
Recognition is carried out
Molecular Receptors for Recognition and Sensing of Nucleotides. This Minireview presents recent progress in the design of synthetic molecular receptors for
selective recognition Combined Convolutional and Perceptron Neural Networks for Handwritten Digits Recognition for recognizing handwritten digits is considered.
Recognition is carried out by two sets of networks following
Paralinguistic model for emotions recognition with deep neural networksIn this paper the computer paralinguistic model for emotions
recognition based on deep neural
Anthracene-Based Amido−Amine Cage Receptor for Anion Recognition under Neutral Aqueous Conditions, the receptor is able to bind phosphate
selectively under neutral (pH 7.2) aqueous conditions. The
recognition