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 ... wij× exp(−ξij) (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 1 docx
... 2005926346ISSN print edition: 186 0-9 49XISSN electronic edition: 186 0-9 503ISBN-10 3-5 4 0-2 6 07 2-2 Springer Berlin Heidelberg New YorkISBN-13 97 8-3 -5 4 0-2 6 07 2-1 Springer Berlin Heidelberg New YorkThis ... be found on our homepage:springeronline.comVo l . 1. Tetsuya Hoya Artificial Mind System – Kernel Memory Approach, 2005ISBN 3-5 4 0-2 6 07 2-2 ... . . 74 4.5.4 Constraints on Formation of the Link Weights . . . . . . . . 75 4.5.5 A Note on Autonomous Formation of a New Category . 76 Tetsuya Hoya Artificial Mind System – Kernel Memory Approach XVI...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 2 doc
... practical aspects. Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 18 9–2 35 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg ... corresponding kernel memory, since PNNs/GRNNs can be subsumed into the kernel memory concept, andthus have dynamic and flexible reconfiguration properties4.)As depicted in Fig. 10.4, an HA-GRNN consists ... networks(denoted “LTM Net 2-L” in Fig. 10.4);3) A decision unit which yields the final pattern recognition result (i.e.following the so-called “winner-takes-all” strategy).3The term HA-GRNN was preferably...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 3 potx
... conventional PNN using k-meansclustering method – using the SFS data setGeneralisationDigit012345 678 9Total Performance0 34 1 1 34/36 94.4%1 17 19 17/ 36 47. 2%2 28 8 28/36 77 .8%3 3 22 10 1 22/36 ... 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 316/360 87. 8%selected ... Sect. 8.3 .7. )The above process is performed based on the hypothesis that long-term memory can be represented by a layered structure, where in the HA-GRNNcontext the (regular) long-term memory...
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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 ... computer Tetsuya Hoya: Artificial Mind System – Kernel Memory Approach, Studies in ComputationalIntelligence (SCI) 1, 1–8 (2005)www.springerlink.comc Springer-Verlag Berlin Heidelberg 2005232 ... 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 (Fodor,...
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Artificial Mind System – Kernel Memory Approach - Tetsuya Hoya Part 5 docx
... with 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 (2005)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
... 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 ... topological structure. 7 Alternatively, this can be called as a multi-domain-input multi-output(MDIMO) system. 32 3 The Kernel Memory Conceptp2p1Npx2xNx1... Kernel 1) The Kernel Function3) ... (3. 17) where the output (kernel) ojis regarded as the j-th sub-network output andthe index i (i =1, 2, ,Nj, Nj: num. of kernels in Sub-network j) denotesthe Gaussian kernel within the j-th...
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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, ... The Self-Organising Kernel Memory (SOKM)• By means of the kernel memory concept, the dynamic memory architecture(or self-evolutionary system) can be designed to provide both the distrib-uted...
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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, ... the utility of multi-sensory input data,rather than single, for some particular pre-processing.)86 5 The Artificial Mind System (AMS)Concept3) Kernel Memory STM / Working Memory, Semantic Nets...
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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 ... 3)Learning)(Reinforcement(CollectingFig. 7. 5. An alternative representation of Units 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)...
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