Title :
The VLSI kernel of neural algorithms
Author_Institution :
Corp. R&D, Siemens AG, Munich, Germany
Abstract :
A unified description of neural algorithms by means of general objective functions is shown to be the key to economic design of software and hardware. The compute-intensive algorithmic strings present in the dynamical equations corresponding to an objective function are to be executed by dedicated VLSI circuits. Cellular neural networks are recovered as a special case, and a corresponding general learning rule is derived
Keywords :
CAD; VLSI; cellular arrays; learning systems; neural nets; parallel algorithms; CAD; VLSI kernel; cellular neural networks; learning rule; neural algorithms; objective functions; Algorithm design and analysis; Cellular neural networks; Chaos; Equations; Kernel; Neural networks; Neurons; Research and development; Silicon; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
DOI :
10.1109/CNNA.1990.207524
