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In our data we found that by pooling the peptide identifications obtained in one 4 h run based on a linear gradient, and one based on an optimized gradient, we gain an average 10% more peptide identifications compared to pooling the identifications from any two runs based on a linear gradient.
Based on an optimized process, PBB'S copolyesters were synthesized in high yield.
The innovative approach is based on an optimized synchronous rectifier design and a new trigger circuit.
A simplified approach based on an optimized single column protocol is used to design the open-loop SMB.
This paper presents a novel controller design of a thyristor controlled series capacitor based on an optimized adaptive neuro-fuzzy inference system.
Furthermore, a high output power continuous-wave laser is presented based on an optimized resonator made up of four Nd YAG ceramic rods.
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In this study, we introduce and investigate a new topology of fuzzy-neural networks—fuzzy polynomial neural networks (FPNN) that is based on a genetically optimized multiplayer perceptron with fuzzy set-based polynomial neurons (FSPNs).
Enigma's computational model is based on a highly optimized version of secure multi-party computation, guaranteed by a verifiable secret-sharing scheme.
In this study, we introduce a new topology of Fuzzy Polynomial Neural Networks (FPNN) that is based on a genetically optimized multilayer perceptron with fuzzy polynomial neurons (FPNs) and discuss its comprehensive design methodology.
In this study, we introduce a class of neural architectures of self-organizing neural networks (SONN) that is based on a genetically optimized multilayer perceptron with polynomial neurons (PNs) or fuzzy polynomial neurons (FPNs).
We introduce a new architecture of hybrid fuzzy polynomial neural networks (HFPNN) that is based on a genetically optimized multi-layer perceptron and develop their comprehensive design methodology involving mechanisms of genetic optimization.
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