2008-2011

300000 CNY

In many applied problems such as seismology, earth measure and cerebral medical simulation, data is often collected on a spherical surface. So people try to look for a functional model with “machine architecture” to handle analysis and manufacture those data collected to get the information needed. Based on machine learning of data is the most important technology in information handling and one of the hot topic in informatics, this project researched on the following core problems such as construction of learning machine, learning theory and algorithm and data classification on a spherical surface thoroughly and systematically. It absorbed and developed some important theory and algorithm of harmonic analysis, function approximation and statistics, established a general architecture method for the neural network and support vector machine on a spherical surface, and studied the theory and method of spherical surface learning rate estimation variously to construct the theory and algorithm of spherical surface learning. Hence the accomplishment of this project not only provided theory and method for applied problems, but also developed and enriched learning theory, which promoted the development of cross subjects. Finishing the item results in that forty-seven papers have been published, where the twenty-four pap More... »

JSON-LD is the **canonical representation** for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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Download the RDF metadata as: json-ld nt turtle xml License info

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/grant.4908337'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.4908337'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.4908337'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.4908337'

This table displays all metadata directly associated to this object as RDF triples.

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