Chen et al., 2018 - Google Patents
Robust stability analysis of quaternion-valued neural networks via LMI approachChen et al., 2018
View HTML- Document ID
- 17966242281988042611
- Author
- Chen X
- Li L
- Li Z
- Publication year
- Publication venue
- Advances in Difference Equations
External Links
Snippet
This paper is concerned with the issue of robust stability for quaternion-valued neural networks (QVNNs) with leakage, discrete and distributed delays by employing a linear matrix inequality (LMI) approach. Based on the homeomorphic mapping theorem, the …
- 230000001537 neural 0 title abstract description 36
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30994—Browsing or visualization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored programme computers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dym et al. | Low-dimensional invariant embeddings for universal geometric learning | |
| Li et al. | Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays | |
| Chen et al. | State estimation for quaternion-valued neural networks with multiple time delays | |
| Yang et al. | Exponential synchronization of memristive Cohen–Grossberg neural networks with mixed delays | |
| Rajivganthi et al. | Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays | |
| Li et al. | On hyperchaos in a small memristive neural network | |
| Camlibel et al. | Linear passive systems and maximal monotone mappings | |
| Syed Ali et al. | Finite time stability analysis of fractional-order complex-valued memristive neural networks with proportional delays | |
| Sau et al. | Passivity analysis of fractional-order neural networks with time-varying delay based on LMI approach | |
| Li et al. | Dissipativity analysis of memristive neural networks with time‐varying delays and randomly occurring uncertainties | |
| Rakkiyappan et al. | Global dissipativity of memristor-based complex-valued neural networks with time-varying delays | |
| Ma et al. | Finite-time synchronization for complex dynamical networks with time-varying delays | |
| Li et al. | Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control | |
| Meng et al. | Stability analysis of stochastic memristor-based recurrent neural networks with mixed time-varying delays | |
| Li et al. | Existence and Global Exponential Stability of Pseudo Almost Periodic Solutions for Neutral Type Quaternion‐Valued Neural Networks with Delays in the Leakage Term on Time Scales | |
| Liu | Pseudo almost periodic solutions for CNNs with continuously distributed leakage delays | |
| Ho et al. | Descent methods for nonnegative matrix factorization | |
| Zhao et al. | Finite-time robust synchronization of memrisive neural network with perturbation | |
| Chen et al. | Robust stability analysis of quaternion-valued neural networks via LMI approach | |
| Ren et al. | Anti-synchronization of a class of fuzzy memristive competitive neural networks with different time scales | |
| Xiao et al. | Quadratic stabilisation of switched affine systems | |
| Yang et al. | Finite-time synchronization of coupled inertial memristive neural networks with mixed delays via nonlinear feedback control | |
| Abdurahman et al. | Function projective synchronization of memristor-based Cohen–Grossberg neural networks with time-varying delays | |
| Li et al. | Exponential stabilization control of delayed quaternion-valued memristive neural networks: vector ordering approach | |
| Madden et al. | Memory capacity of two layer neural networks with smooth activations |