Adaptive learning model for predicting negotiation behaviors through hybrid k-means clustering, linear vector quantization and 2-Tuple fuzzy linguistic model

S Agarwal, HR Saferpour, CH Dagli - Procedia Computer Science, 2014 - Elsevier
Abstract Acknowledged System of systems (SoS) manager has no direct control over
contributing systems yet they deliver capabilities required to meet the purpose of the SoS …

System Architecting Approach for Designing Deep Learning Models

RD Gottapu, CH Dagli - Procedia Computer Science, 2019 - Elsevier
Deep Learning (DL) models have proven to be very effective in solving many challenging
problems, especially, those related to computer vision, text, and speech. However, the …

[图书][B] A meta-architecture analysis for a coevolved system-of-systems

GA Muller IV - 2016 - search.proquest.com
Modern engineered systems are becoming increasingly complex. This is driven in part by an
increase in the use of systems-of-systems and network-centric concepts to improve system …

[图书][B] Computational model for neural architecture search

RD Gottapu - 2020 - search.proquest.com
A long-standing goal in Deep Learning (DL) research is to design efficient architectures for a
given dataset that are both accurate and computationally inexpensive. At present, designing …

[PDF][PDF] Adaptive Learning Model for Predicting Negotiation Behaviors through Hybrid KYmeans Clustering, Linear Vector Quantization and 2Ytuple Fuzzy Linguistic …

S Agarwalak, HR Saferpoura… - Procedia Computer …, 2014 - academia.edu
Abstract AcNnowledged System of systems (SoS) manager has no direct control over
contributing systems yet they deliver capabilities required to meet the purpose of the SoS …