| 摘要 |
A system and method that transforms data formats into contour metrics and further transforms each contour of that mapping into contours pattern metric sets so that each metric created has a representation of one level of contour presentation, at each iteration of the learning contour identification system defined herein. This transformation of data instance to contour metrics permits a user to take relevant data of a data set, as determined by a learning contour identification system, to machines of other types and function, for the purpose of further analysis of the patterns found and labeled by said system. The invention performs with data format representations, not limited to, signals, images, or waveform embodiments so as to identify, track, or detect patterns of, amplitudes, frequencies, phases, and density functions, within the data case and then by way of using combinations of statistical, feedback adaptive, classification, training algorithm metrics stored in hardware, identifies patterns in past data cases that repeat in future, or present data cases, so that high-percentage labeling and identification is a achieved. |
| 主权项 |
1. A processing system conglomeration for phenomenon and phenomena repeatability tracking, comprising:
At least one metric code sequence structure having elements of data format types consistent with means for describing, uniquely, characteristics as functions and function elements of phenomenon and phenomena, determined by adaptive feedback tracking system conglomeration processes, for replacement of elements of original raw data with individual re-processed raw data elements translated into elements of at least one system readable single and grouped sets of phenomenon and phenomena metric code sequence descriptors stored at editable and appendable addresses in a memory structures not all of same element data type and size of said original raw data taken by said tracking system, means for assembling from at least one sample set of raw data, and at least one system conglomeration process iteration of said sample set, editable and portable and re-processable, system and portable format stored, phenomenon and phenomena metric code sequences of raw data element group formations of meaningful equivalent element formation substitutes of at least one system and at least one user input processed through said conglomeration, as occurring and repeatable in nature and natural sciences, as phenomenon and phenomena falling into a final classification category of at least one of: person, place, thing, experience, expression, idea and combinations of same categories, means for communications between stored phenomenon and phenomena code metric sequences and conglomerations of at least one of: interruptible and timing abled system conglomeration of phenomenon and phenomena code metric sequence assemblers and code sequence builders, adaptive phenomenon and phenomenon feedback components, system external conglomeration attachments, raw input data gathering devices, input data format translator assemblers as means to process raw data gathered into formats that are readable to phenomenon and phenomena metric code sequence assemblers, transceivers means for input and output display and edits of phenomenon and phenomena metric code sequence builders during and after process interruption, input and output devices and system attachments, storage locations, component conglomeration interruption controllers, and time controllers, and power supplies interruptible and time-controlled as means for selectively processing elements of phenomenon and phenomena metric code sequences, system self-test controllers, and micro-code processors and builders, means for input to said tracking system and data gather devices and means for sending and ending component interruptions to same tracking system and its attachments, means for output of end of processing, final output, of phenomenon and phenomena repeatability tracking system, means for editing phenomenon and phenomena during, after, and when system sensors and controllers decide by means for phenomenon and phenomena metric code sequences and user and system interrupts, means for processing at least one said tracking conglomeration iteration input of raw data and phenomenon and phenomena metric code sequences, means for interconnecting said listing of means for enhancements of final classification meanings to complete phenomenon and phenomena metric code sequences processed, means for interconnecting in a plurality of layers and in higher dimensions of at least one combination of said listing of means for the given phenomenon and phenomena tracking system. |
