Dynamic Memory Allocation for CMAC using Binary Search Trees
Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural network system suitable for trajectory control. Traditionally, CMACs have been implemented using hash-coding for their memory allocation, requiring static allocation of fixed amounts of memory in advance to the trai...
| Main Authors: | , |
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| Format: | Conference Paper |
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WSEAS Press
2007
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| Online Access: | http://www.wseas.org/ http://hdl.handle.net/20.500.11937/35772 |
| Summary: | Cerebellar Model Articulation Controllers (CMACs) are a biologically-inspired neural network system suitable for trajectory control. Traditionally, CMACs have been implemented using hash-coding for their memory allocation, requiring static allocation of fixed amounts of memory in advance to the training of the system. This paper presents a method for implementing CMACs using Binary Search Trees to provide dynamic memory allocation, allowing for lower memory usage without compromising the functionality of theCMAC. |
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