A nonnegative matrix factorization algorithm based on a discrete-time projection neural network

• Published in: Neural networks Vol. 103; pp. 63 - 71
• Main Authors: Che, Hangjun, Wang, Jun
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.07.2018
• Subjects: Algorithms; Biconvex optimization; Databases, Factual - utilization; Discrete-time projection neural network; Neural Networks (Computer); Nonnegative matrix factorization; Pattern Recognition, Automated - methods; Pattern Recognition, Automated - trends; Photic Stimulation - methods; Time Factors; Biconvex optimization; Nonnegative matrix factorization; Discrete-time projection neural network

This paper presents an algorithm for nonnegative matrix factorization based on a biconvex optimization formulation. First, a discrete-time projection neural network is introduced. An upper bound of its step size is derived to guarantee the stability of the neural network. Then, an algorithm is propo...