Name
Abstract | ||
|---|---|---|
The analysis of complex neural network models via analytical techniques is often quite difficult due to the large numbers of components involved and the nonlinearities associated with these components. The authors present a framework for simulating neural networks as discrete event nonlinear dynamical systems. This includes neural network models whose components are described by continuous-time differential equations or by discrete-time difference equations. Specifically, the authors consider the design and construction of a concurrent object-oriented discrete event simulation environment for neural networks. The use of an object-oriented language provides the data abstraction facilities necessary to support modification and extension of the simulation system at a high level of abstraction. Furthermore, the ability to specify concurrent processing supports execution on parallel architectures. The use of this system is demonstrated by simulating a specific neural network model on a general-purpose parallel computer. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1109/32.148474 | Software Engineering, IEEE Transactions |
Keywords | Field | DocType |
concurrent simulation,general-purpose parallel computer,concurrent object-oriented discrete event,neural network,specific neural network model,object-oriented language,data abstraction facility,discrete event nonlinear dynamical,general framework,complex neural network model,neural network model,concurrent processing,neural network models,neural nets,data structures,parallel processing,computational modeling,difference equation,differential equation,discrete event simulation,parallel computer,discrete time,indexing terms,computer simulation,object oriented,difference equations,neural networks,object oriented programming,object oriented language,differential equations | Differential equation,Data structure,Nervous system network models,Abstraction,Object-oriented programming,Computer science,Theoretical computer science,Artificial neural network,Cellular neural network,Discrete event simulation | Journal |
Volume | Issue | ISSN |
18 | 7 | 0098-5589 |
Citations | PageRank | References |
10 | 1.29 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gregory L. Heileman | 1 | 380 | 45.47 |
| Michael Georgiopoulos | 2 | 641 | 65.56 |
| William D. Roome | 3 | 71 | 27.15 |