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precision and the adaptation rule are more important than the size of the network , most applications of neural networks require large arrays of neurons and synapses. The fan-out of the neuron is not the crucial point: digital or analog neuron can be easily designed so that they can drive a小母马 发表于 2025-3-22 00:39:56
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whose worst-case time complexity is bounded by a polynomial in the size of the input. Consequently, heuristic algorithms are used to find solutions to these problems. These algorithms explore a discrete space of admissible configurations S in a deterministic fashion. Starting from an initial configKIN 发表于 2025-3-22 19:03:59
an excellent job of collecting and clearly presenting material that was previously available only in various theses, confer ence papers, and memoranda. He has provided here a balanced and comprehensive presentation of the key ideas and techniques used in PI, discussing part of his own Ph. D. workvisual-cortex 发表于 2025-3-23 00:33:20
and video communication, biomedical engineering, acoustics, consumer electronics, and many others. Discrete sinusoidal transforms such as discrete cosine transform (DCT), discrete sine transform (DST), and discrete Hartley transform (DHT), discrete Fourier transform (DFT), Lopped Orthogonal Transfo嫌恶 发表于 2025-3-23 02:05:46
disciplines, architectural and circuit design paradigms, the number of clock phases, the number of amplification stages, the sizes of specific transistors, and the temporal behavior demanded of specific input signals (such as stability criteria they must obey). This paper discusses a framework forbeta-carotene 发表于 2025-3-23 06:03:33
f IC realization. This effort has resulted in a large number of publications that have appeared in a variety of journals and conference proceedings. Thus our mo978-1-4612-8816-9978-1-4613-1521-6Series ISSN 0893-3405