제어로봇시스템학회:학술대회논문집
- 2000.10a
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- Pages.160-160
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- 2000
Division of Working Area using Hopfield Network
Hopfield Network을 이용한 작업영역 분할
Abstract
An optimization approach is used to solve the division problem of working area, and a cost function is defined to represent the constraints on the solution, which is then mapped onto the Hopfield neural network for minimization. Each neuron in the network represents a possible combination among many components. Division is achieved by initializing each neuron that represents a possible combination and then allowing the network settle down into a stable state. The network uses the initialized inputs and the compatibility measures among components in order to divide working area.