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The required algorithm may be broken down into a set of simpler statements which can, in turn, be reduced eventually, to instructions that the CPU executes.Ĥ Section 1: von Neumann Machine and the Symbolic Paradigm 4 In particular, it is possible to process strings of symbols which represent ideas or concepts and obey the rules of some formal system. Examples of such type of problems are the solution to a set of equations or the way to search for an item in a database. In this paradigm, it is possible to formalize many problems in terms of an algorithm, that is as a well defined procedure or recipe which, when executed in sequence, will produce the answer. The CPU then executes the instruction (process the data), 4. as well as any data required by the instruction. The CPU fetches from memory an instruction 2. The basic operations may be modelled by having the computer repeatedly perform the following cycle of events: 1. von Neumann Machine and the Symbolic Paradigm The conventional electronic computer is built according to the von Neumann machine and the symbolic paradigm. Applications of NN NN as logic functions NN as classifiersģ Section 1: von Neumann Machine and the Symbolic Paradigm 3 1. Network Learning Algorithms Supervised Training Unsupervised Training Fixed- Weights Nets with no Training 5.4. Common Activation Functions for Neurons Identity Function Binary Step Function with Threshold Bipolar Step Function with Threshold Binary Sigmoid Function Bipolar Sigmoid Function An Alternate Bipolar Sigmoid Function Nonsaturating Activation Function 5.2. von Neumann Machine and the Symbolic Paradigm 2. Directory Table of Contents Begin Article Copyright c 2008 Last Revision Date: January 22, 2008Ģ Table of Contents 1. The differences with the conventional von Neumann machines are discussed.
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Ming Leung Abstract: A computing paradigm known as artificial neural network is introduced. 1 POLYTECHNIC UNIVERSITY Department of Computer and Information Science Introduction to Artificial Neural Networks K.