Method and apparatus for pattern processing
First Claim
1. Process for pattern processing, exhibiting the following steps:
- a) discretizing of an input pattern,b) generation of a number n of discrete variants of the discretized input pattern in accordance with established rules,c) input of each of the n discrete input-pattern variants into a memory element and, in each memory element, mapping of the entered input-pattern variant to a respectively assigned output symbol from a finite set of discrete symbols in accordance with an associative assignment rule, andd) selection of one of the output symbols by way of selected symbol relating to the input pattern from n generated output symbols in accordance with an established selection rule,wherein the associative assignment rule in step c) is learned by feedback of the selected symbol as a reference symbol at a symbol input (set) of the memory element;
in whichthe pattern processing is executed as a multi-stage process, wherein selected symbols of a first process stage serve as input patterns of a second process stage, and in whichthe generation of a number n of discrete variants of the discretized input pattern in process step b) of the second process stage is effected by mixing output symbols of the first stage.
0 Assignments
0 Petitions
Accused Products
Abstract
An apparatus for pattern processing exhibits a discretizing device for discretizing an input pattern, a device for generating a number n of discrete variants of the quantized input pattern in accordance with established rules, a number n of input stages (50) for generating, for each input-pattern variant, an assigned output symbol from a set of symbols, and a selection unit (60) for selecting a symbol by way of selected symbol relating to the input pattern from the n generated output symbols in accordance with an established selection rule. The apparatus according to the invention and the corresponding process according to the invention enable a faster, more precise and more flexible recognition of patterns, in which connection it may be a question of spatial image patterns, temporally variable signal patterns and other input patterns.
6 Citations
18 Claims
-
1. Process for pattern processing, exhibiting the following steps:
-
a) discretizing of an input pattern, b) generation of a number n of discrete variants of the discretized input pattern in accordance with established rules, c) input of each of the n discrete input-pattern variants into a memory element and, in each memory element, mapping of the entered input-pattern variant to a respectively assigned output symbol from a finite set of discrete symbols in accordance with an associative assignment rule, and d) selection of one of the output symbols by way of selected symbol relating to the input pattern from n generated output symbols in accordance with an established selection rule, wherein the associative assignment rule in step c) is learned by feedback of the selected symbol as a reference symbol at a symbol input (set) of the memory element;
in whichthe pattern processing is executed as a multi-stage process, wherein selected symbols of a first process stage serve as input patterns of a second process stage, and in which the generation of a number n of discrete variants of the discretized input pattern in process step b) of the second process stage is effected by mixing output symbols of the first stage. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 17, 18)
-
-
11. Apparatus for pattern processing, exhibiting:
-
a discretizing device for discretizing an input pattern; a device for generating a number n of discrete variants of the quantized input pattern in accordance with established rules; a number n of memory elements which have been set up to map each of the n discrete input-pattern variants onto a respectively assigned output symbol from a finite set of discrete symbols in accordance with an associative assignment rule; and a selection unit for selecting one of the output symbols by way of selected symbol relating to the input pattern from n generated output symbols in accordance with an established selection rule; wherein the memory elements and the selection unit are connected to one another in such a way that the associative assignment rule which is used in at least one of the connected memory elements is learned by feedback of the selected symbol as a reference symbol at a symbol input (set) of the connected memory elements; and wherein the memory elements each exhibit a pattern input, a reference-symbol input, an update-activation input and a symbol output. - View Dependent Claims (12, 13, 14, 15, 16)
-
Specification