A multi-valued-logic fuzzy-inference system module based on the CRI method was constructed using blocks. Simulation results of basic fuzzy blocks and the CRI system module indicate that the multi-valued-logic fuzzy-in...
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A multi-valued-logic fuzzy-inference system module based on the CRI method was constructed using blocks. Simulation results of basic fuzzy blocks and the CRI system module indicate that the multi-valued-logic fuzzy-inference system has a much faster speed than a binary one, and the configuration of circuits are much simpler.
Crosstalk due to superposition, which is an essential concept of associative memory based on the outer product algorithm, is explicitly formulated in terms of Hamming distance between the memorized keys and input key....
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Crosstalk due to superposition, which is an essential concept of associative memory based on the outer product algorithm, is explicitly formulated in terms of Hamming distance between the memorized keys and input key. Some noticeable properties of crosstalk, such as symmetricity, linear independency, and cancellation characteristics, are derived by using the Krawtchouk polynomial. These properties are highly useful for reducing crosstalk and make it possible to propose a new architecture of associative memory with fewer high-order correlation cross products than the conventional architecture. The architecture proposed completely removes crosstalk due to the memorized keys having odd number Hamming distance from the input key. In order to remove relatively large parts of the residual crosstalk due to even number Hamming distance from the input key, a coding technique which constructs a simple error correcting Hamming code including relatively little redundancy is introduced.< >
Static characteristics of a levitational mechanism are studied. The levitational mechanism consists of a high-T(c) superconductor tile (type-II superconductor) and a magnet arrangement of the same size bar magnets wit...
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Static characteristics of a levitational mechanism are studied. The levitational mechanism consists of a high-T(c) superconductor tile (type-II superconductor) and a magnet arrangement of the same size bar magnets with alternating magnetic pole pattern. The levitation pressures have hysteresis loops because of the flux pinning effect. By using the alternating pole pattern of magnets larger static levitation pressure in proportion to the arrangement can be obtained over a wide area. Moreover the levitation pressure can be optimized with respect to the width of a bar magnet of the alternating pole pattern.
Drag pressures of a levitation mechanism are investigated. The levitation mechanism consists of a high-T(c) superconductor tile (type II superconductor) and a set of alternating-polarity bar magnets of the same size. ...
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Drag pressures of a levitation mechanism are investigated. The levitation mechanism consists of a high-T(c) superconductor tile (type II superconductor) and a set of alternating-polarity bar magnets of the same size. Relationships of the drag pressure to the distance between the magnets and the superconductor tile and to the width of a bar magnet are investigated. The drag pressure becomes small rapidly with increasing distance. The drag pressure becomes large with the superconductor-magnets distance decreasing. If the distance is fixed there exist a width of a bar magnet providing a maximum drag pressure. The drag pressure is also measured when the superconductor is moved in the direction of the alternating polarity.
A simple approach is presented for simultaneous on-line identification of the time delay and the system parameters of continuous-time systems based on discrete-time measurements. The linear integral filter is used bot...
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A simple approach is presented for simultaneous on-line identification of the time delay and the system parameters of continuous-time systems based on discrete-time measurements. The linear integral filter is used both to construct the derivatives of input-output signals and to avoid estimating the unknown initial conditions. The time delay and the system parameters are directly estimated by an on-line algorithm which is derived using Newton’s method. Severed identification methods such as the bias-compensating method and the instrumental variable methods are applied for eliminating the asymptotic bias of the parameter estimates in noisy situations. The present algorithm is applicable to the case when the time delay is not an integral multiple of the sampling interval, and can also be used for model reduction.
A unique transmission mechanism using a non-contact magnetic gear (NCMG) is proposed for micro and miniature electromechanical systems. A miniature NCMG has been produced and the basic characteristics were evaluated e...
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A unique transmission mechanism using a non-contact magnetic gear (NCMG) is proposed for micro and miniature electromechanical systems. A miniature NCMG has been produced and the basic characteristics were evaluated experimentally. The theoretical approach for analyzing the transmittable torque of the NCMG was developed and verified experimentally. It is concluded that the NCMG system has great potential for use in safe miniature transmission mechanisms for medical applications and in micro transmission systems for microelectromechanical systems.< >
An advanced mathematical model of a shape memory alloy (SMA) useful for designing SMA micro-devices is proposed and applied to coil spring theory to analyze the appropriate mechanical and electrical characteristics. T...
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An advanced mathematical model of a shape memory alloy (SMA) useful for designing SMA micro-devices is proposed and applied to coil spring theory to analyze the appropriate mechanical and electrical characteristics. This model can handle three phases of the SMA: the parent phase, the martensitic phase, and the R-phase. of three steps. First, the mechanical properties of the three phases are modeled at the solid mechanics level. Second, a model of thermoelectric transformation is obtained at the thermodynamic level. Finally, the first and second steps are combined. The model was applied to coil spring theory and was verified successfully by experiments under general conditions.< >
A general relationship is developed between the VC-dimension and the statistical lower epsilon-capacity which shows that the VC-dimension can be lower bounded (in order) by the statistical lower epsilon-capacity of a ...
ISBN:
(纸本)9781558602229
A general relationship is developed between the VC-dimension and the statistical lower epsilon-capacity which shows that the VC-dimension can be lower bounded (in order) by the statistical lower epsilon-capacity of a network trained with random samples. This relationship explains quantitatively how generalization takes place after memorization, and relates the concept of generalization (consistency) with the capacity of the optimal classifier over a class of classifiers with the same structure and the capacity of the Bayesian classifier. Furthermore, it provides a general methodology to evaluate a lower bound for the VC-dimension of feedforward multilayer neural *** general methodology is applied to two types of networks which are important for hardware implementations: two layer (N - 2L - 1) networks with binary weights, integer thresholds for the hidden units and zero threshold for the output unit, and a single neuron ((N - 1) networks) with binary weigths and a zero threshold. Specifically, we obtain O(W/lnL) ≤ d2 ≤ O(W), and d1 - O(N). Here W is the total number of weights of the (N - 2L - 1) networks. d1 and d2 represent the VC-dimensions for the (N - 1) and (N - 2L - 1) networks respectively.
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