Cellular neural networks for eddy current problems

Use of the finite-element analysis (FEA) run on digital computers for solving eddy current problems suffers from two serious drawbacks. First, due to the serial processing nature of digital computers, analysis is often time consuming. Second, widespread access to better developed commercial software is limited by its high cost. A new high-speed, parallel-processing alternative is presented with an inexpensive simulation option, based on cellular neural networks. This alternative has potential applications to a broad area of problems which can be described by partial-differential or integro-differential equations. Examples are problems in heat transfer and electromagnetic fields.>