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A possible decoherence-based quantum-holographic Hopfield-like approach to biomolecular recognition is considered. This might be of fundamental importance in understanding underlying macroscopic quantum-holographic Hopfield-like control mechanisms of morphogenesis, with significant potential holistic psychosomatic implications.
Load prediction is a necessity in a deregulated electrical energy sector. It is important financially and technically. In order to cope with nonlinear and non stationary character of a load signal, an efficient adaptive predictor should be employed. Also, power utilities manage load information as a complex-valued signal. To this cause, performance of a class of complex-valued gradient descent (GD)...
Classical approaches to the fault detection and isolation usually require extensive plant-modeling and statistical analysis of the measured signals and their residuals versus the developed model. In this paper, alternative simple model-free approach is proposed. Real-time data are preprocessed and self-organizing map is trained and used for the reliable isolation of the most frequent mill fault -...
Energy consumption predictions are essential and are required in the studies of capacity expansion, energy supply strategy, capital investment, revenue analysis and market research management. In the recent years artificial neural networks (ANN) have attracted much attention and many interesting ANN applications have been reported in power system areas, due to their computational speed, their ability...
Paper deals with application of online rotor broken bar fault detection via artificial neural networks. Fault can be detected by monitoring abnormalities of the spectrum amplitudes at certain frequencies in the motor current spectrum. These discriminative features are used for training of feed-forward backpropagation artificial neural network. Trained network is capable to successfully classify induction...
Vestibular disorders can cause severe problems including nausea, inability to concentrate, and visual deficits. The CLONS project is developing a closed-loop sensory neural prosthesis to alleviate these symptoms. Conceptually, the prosthesis restores vestibular information by stimulating the semicircular canals according to measurements from inertial sensors rigidly affixed to the user. Here we present...
In this paper, a method for classifying room impulse responses using multifractals and Kohonen's neural networks is investigated. Impulse response is basic source of information in room acoustics; therefore its analysis is the most important issue regarding sound impression in the room. The method proposed in this paper consists of three steps. The first stage of signal classification process is computation...
Summary form only given. As an extension of winner-takes-all to multiple selections, K-Winners take-all (KWTA) is a fundamental operation with widespread applications in sorting, filtering, decoding, clustering, classification, and so on. In this talk, the KWTA problem is formulated as several optimization problems with reducing complexity. Several recurrent neural networks will be presented for solving...
This work presents the technical aspects for the development of a firmware for a Nd:YAG laser based ophthalmic surgery microscope. The software designed for a Microchip® PIC18F4550 microcontroller interfaces the electronic blocks of the device and allows the calibration of the laser energy attenuator. This paper mainly describes the experimental setup and presents the experimental data for an innovative...
Wireless mesh networks (WMN) represent a type of mobile ad-hoc networks. These networks are very important in providing the Internet access to fixed and mobile terminal equipment. The main problem in WMNs (regarding to mesh routers and mesh clients) is a routing protocol, especially because it has to enable the access to network for both mesh and conventional clients. Access to Internet for wireless...
Advancements in digital electronics and signal processing algorithms for various purposes generated the possibility and need for designing artificial neural networks in hardware. The selected platform, FPGA, enables fulfillment of their demands and provides comfortable work and test environment. This paper presents development cycle and specifics for implementation of high speed Hamming artificial...
Influence of the interaction time-delay on the noise induced system size resonance in a system of all-to-all electrically coupled FitzHugh-Nagumo excitable neurons is studied. It is observed that small time-lags decrease and that large time-lags increase the coherence of spiking. Bifurcations of the system's stationary state are used to explain the observed non-monotonic dependence of coherence on...
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of negative matrix factorization (NMF), where nonnegativity constraints are mainly imposed on CANDECOMP/PARAFAC model and recently, also, on Tucker model. Nonnegative tensor factorization algorithms have many potential applications, including multiway clustering, multi-sensory or multidimensional data analysis and...
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