Color Information Processing based on Quaternionic Neural Networks
| Project/Area Number |
21700259
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | University of Hyogo |
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Principal Investigator |
ISOKAWA Teijiro 兵庫県立大学, 大学院・工学研究科, 准教授 (70336832)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 連想記憶 / 四元数 / 複素数 / ニューラルネットワーク / クォータニオン / シナジェティックコンピュータ / 可換クォータニオン / 複素ニューラルネットワーク / 射影学習 / 局所逐次学習 / Hebb学習 |
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| Research Abstract |
This research subject aims to investigate the analysis for complex-valued and quaternionic-valued associative memory, which can store and retrieve higher dimensional data. Quaternion is a class of hypercomplex number system with rank four. The following two subjects are mainly explored
(1) Associative memory that can store and retrieve three dimensional signals, such as images or body coordinates, is proposed and analyzed. Also, schemes for embedding patterns onto the networks are also studied.
(2) Synergetic computer, which is a type of associative memory, is investigated through its parameters are encoded by complex values. The performance evaluations are conducted through the retrievals of gray-scaled images.
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Report
(4 results)
Research Products
(13 results)
