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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 3 potx

Tetsuya Hoya Artificial Mind System – Kernel Memory Approach pptx

Tetsuya Hoya Artificial Mind System Kernel Memory Approach pptx

... con-nectionist models and PNNs/GRNNs is given. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 1 1–2 9 (2005)www.springerlink.comc Springer-Verlag ... psychology (1879), computer Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 1–8 (2005)www.springerlink.comc Springer-Verlag Berlin ... . . . . . . . . 293 The Kernel Memory Concept A Paradigm Shiftfrom Conventional Connectionism 313.1 Perspective 313.2 TheKernelMemory 313.2.1 Definition of the Kernel Unit . . . . . . ....
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Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc

Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc

... 33 .25 33 .1 23 33. 162 33 .30 7 0 .38 3 0.266 0.172 14 33 .15 33 .1 23 33. 162 33 .30 7 0.0 83 0. 035 0.474 15 33 .33 33 .1 23 33. 162 33 .30 7 0.622 0.505 0.069 16 28.56 29.678 28.624 28.577 3. 915 0.2 23 0.058 ... 3. 601 3. 538 3. 580 4 .37 9 2.564 3. 771 10 4.48 4.456 4.482 4.472 0.540 0.0 43 0.181 11 3. 12 3. 133 3. 166 3. 139 0. 432 1.479 0.598 12 3. 38 3. 364 3. 389 3. 359 0.484 0.256 0. 634 13 3.29 3. 627 3. 648 3. 630 ... 3 HL 1 32 .67 32 .864 32 .568 32 .684 0.594 0 .31 2 0.044 2 32 .29 32 .041 32 .2 53 31. 838 0.772 0.115 1.401 3 32.92 30 .169 32 .805 32 .9 23 8 .35 6 0 .35 0 0.009 4 33 .87 33 .917 33 .640 33 .624 0. 139 0.679...
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Artificial Mind System – Kernel Memory Approach tetsuya hoya potx

Artificial Mind System Kernel Memory Approach tetsuya hoya potx

... . . . . . . . 79Part II Artificial Mind System 5 The Artificial Mind System (AMS), Modules,and Their Interactions 835.1 Perspective 835.2 The Artificial Mind System A Global Picture . . . ... this seriescan be found on our homepage:springeronline.comVo l . 1. Tetsuya Hoya Artificial Mind System Kernel Memory Approach, 2005ISBN 3-540-26072-2 XIV Contents2.5 Chapter Summary . ... Variations in Terms of Kernel Memory . . . . . . . . . . 413.3.1 Kernel Memory Representationsfor Multi-Domain Data Processing . . . . . . . . . . . . . . . . . . . 413.3.2 Kernel Memory RepresentationsforTemporalData...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 1 docx

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 1 docx

... 13 18 Memory Modules and the Innate Structure 13 58 .1 Perspective 13 58.2 Dichotomy Between Short-Term (STM)andLong-TermMemory (LTM) Modules 13 58.3 Short-Term/Working MemoryModule 13 68.3 .1 ... Processing 2 -1 Hirosawa, Wako-ShiSaitama, 35 1- 0 19 8JapanE-mail: hoya@ brain.riken.jpLibrary of Congress Control Number: 2005926346ISSN print edition: 18 6 0-9 49XISSN electronic edition: 18 6 0-9 503ISBN -1 0 ... seriescan be found on our homepage:springeronline.comVo l . 1. Tetsuya Hoya Artificial Mind System Kernel Memory Approach, 2005ISBN 3-5 4 0-2 607 2-2 ...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 2 doc

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 2 doc

... aspects. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 18 9 2 35 (20 05)www.springerlink.comc Springer-Verlag Berlin Heidelberg 20 05 ... Network (HA-GRNN) A Practical Model of Exploitingthe Four Modules: Attention, Intuition, LTM, and STM,for Pattern Recognition Systems (Hoya, 20 01b, 20 04b)In recent work (Hoya, 20 01b, 20 04b), ... Auxiliary Memory to Store Class ID (Label)η3) Excitation Counterεe 2 p 2 p1NNx 2 xNx1... Kernel 1) The Kernel FunctionK( )5) Pointers to Other Kernel Units. . .e1. . .ep 2) Emotional...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 3 potx

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 3 potx

... 28 2 2 1 2 28 /36 77.8% 3 33 2 1 33 /36 91.7%4 36 36 /36 100.0%5 1 1 33 1 33 /36 91.7%6 32 2 2 32 /36 88.9%7 4 36 36 /36 100.0%8 1 1 34 34 /36 94.4%9 3 1 8 24 24 /36 66.7%Total 31 6 /36 0 87.8%selected ... 77.8% 3 32 2 1 1 32 /36 88.9%4 36 36 /36 100.0%5 3 1 27 2 3 27 /36 75.0%6 32 2 2 32 /36 88.9%7 36 36 /36 100.0%8 1 1 34 34 /36 94.4%9 4 10 1 21 21 /36 58 .3% Total 30 6 /36 0 85.0%stopped when all the ... 32 /36 88.9%4 36 36 /36 100.0%5 2 1 29 2 2 29 /36 80.6%6 32 2 2 32 /36 88.9%7 36 36 /36 100.0%8 1 1 34 34 /36 94.4%9 2 11 23 23/ 36 63. 9%Total 31 0 /36 0 86.1% 10.6 Embodiment of Attention, Intuition,...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 4 pot

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 4 pot

... receives the sensory Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 23 7–2 44 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg ... and 3) above.1 .4 The Artificial Mind System BasedUpon Kernel Memory ConceptThe concept of the artificial mind system was originally inspired by the so-called “modularity of mind principle ... computer Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 1–8 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg 2005...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 5 docx

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 5 docx

... some common con-nectionist models and PNNs/GRNNs is given. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 1 1–2 9 (20 05) www.springerlink.comc ... the well-known classi-cal connectionist/artificial neural network models such as multi-layered per-ceptron neural networks (MLP-NNs), radial basis function neural networks(RBF-NNs), self-organising ... in com-parison with MLP-NNs seems to be, due to the memory- based architecture,the need for storing all the centroid vectors into memory space, which canbe sometimes excessive for on-line data...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 6 doc

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 6 doc

... single kernel unit that represents the local memory space. The term kernel denotes Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 3 1–5 8 ... can be called as a multi-domain-input multi-output(MDIMO) system. 32 3 The Kernel Memory Conceptp2p1Npx2xNx1... Kernel 1) The Kernel Function3) Auxiliary Memory to Store Class ... Nooutputs) are used.In contrast, the kernel memory shown in Fig. 3.5 6 can be viewed asa multi-input multi-output (MIMO)7(i.e. a three-input three-output) sys-tem, since, in this example, three...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 7 pdf

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 7 pdf

... the SOKM principle. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 5 9–8 0 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg ... Concept(Sound)w2313w3kw(Image)cc2x1c323KK1K1x2Fig. 3.6. Example2–abi-directionalMIMOsystemrepresentedbykernelmemory;in the figure, each of the three kernel units receives and yields the outputs, represent-ing the bi-directional flows. For ... wijì exp(ij) (4.1) 58 3 The Kernel Memory ConceptThe fundamental principle of kernel memory concept is pretty simple;the kernel memory comprises of multiple kernel units and their link weightswhich...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 8 doc

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 8 doc

... classification systems. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 8 3–9 4 (2005)www.springerlink.comc Springer-Verlag Berlin ... Artificial Mind System A Global PictureAs shown in Fig. 5.1, the artificial mind system can be macroscopically re-garded as a multi-input multi-output (MIMO) system, consisting of 14 mod-ules, ... Consciousness Artificial Mind System (AMS)Behaviour,Output:1,4,6) PrimaryMotion,(Endocrine)Fig. 5.1. A schematic diagram of the artificial mind system (AMS) as a multi-input multi-output (MIMO) system...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 9 doc

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 9 doc

... reduction system (Hoya et al., 2003b; Hoya et al., 2005, 2004c) a combined multi-stage sliding sub-space projection (M-SSP) and adaptive signal enhancement (ASE) approach; therole of M-SSP is ... related to the memory modules in Chap. 8. In Sect. 8.5,we will also consider another example relevant to noise reduction, i.e. speech Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, ... adaptive signal en-hancement (ASE) approach (Hoya et al., 2003b; Hoya et al., 2005). The sub-space analysis (see e.g. Oja, 198 3) is a well-known approach for various esti-mation problems,...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 11 potx

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 11 potx

... the information (in Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 13 5–1 68 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg ... those from sub -system B, for instance, only sub -system A canbe intensively evolved (i.e. some of the parameters within the units 1 )-4 ) ofsub -system A can be varied greatly), whilst sub -system B ... 2 )-4 ) within only the kernel memory principle; Units 2 )-4 ) consist of both N Fourier kernel units (in Units 2) and 3)) andthe sub-SOKMs (A-Z) (in Unit 4). Eventually, the output from each sub-SOKM...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 13 pot

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 13 pot

... designed in terms of the kernel memory principle, by examining throughan example of the kernel memory representation.9.2.1 An Example of Kernel Memory Representation the Lemmaand Lexeme Levels ... the memory search amongst the LTM and LTM-oriented modules and the data process-ing with the associated modules such as the STM/working memory andintention modules. Tetsuya Hoya: Artificial Mind ... modules. Tetsuya Hoya: Artificial Mind System Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 16 9–1 87 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg 2005...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 14 pot

Artificial Mind System Kernel Memory Approach - Tetsuya Hoya Part 14 pot

... by an SOKM 6 5–6 6Explicit LTM module 85, 138, 141 , 14 8–1 49, 170, 184, 195, 199←→ STM/working memory module 147 −→ secondary (perceptual) outputmodule 150Extinctionof the sub -system 127Fast ... A, (1998). Hito-Wa-Naze-Kotoba-Wo-Tsukaeruka (Why Can Hu-mans Use Language?). Tokyo: Kodan-Sha, Co. Ltd. (in Japanese).Yamasaki, T. & Shibata, T. (2003). Analog soft-pattern-matching classifierusing ... Psychological Review, 69, 37 9-3 99.Searle, J. (1992). The Rediscovery of Mind. Cambridge, MA: The MIT Press.Shibata, M. (2001). Robot-No-Kokoro, Nanatsu-No-Tetsugaku-Monogatari(The Mind of Robots: Seven...
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