Complex-valued Associative Memory with Strong Thresholds
نویسندگان
چکیده
A Complex-valued Associative Memory (CAM) stores not only training patterns but also their rotated patterns. They reduce noise robustness. In this paper, we introduce strong thresholds to the neurons. Thresholds relieve storing rotated patterns and improve noise robustness. If thresholds are simply used, their effect is absorbed in quantification of complex-valued neurons. So we use strong thresholds to improve noise robustness.
منابع مشابه
Chaotic Complex-Valued Associative Memory
Abstract—In this paper, we propose a chaotic complexvalued associative memory which can realize a dynamic association of multi-valued patterns. The proposed model is based on a complex-valued associative memory and a chaotic associative memory. The complex-valued associative memory can treat multi-valued patterns, and the chaotic associative memory can recall stored patterns dynamically. The pr...
متن کاملAn Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory
This paper discusses a complex-valued Hopfield associative memory with an iterative incremental learning algorithm. The mathematical proofs derive that the weight matrix is approximated as a weight matrix by the complex-valued pseudo inverse algorithm. Furthermore, the minimum number of iterations for the learning sequence is defined with maintaining the network stability. From the result of si...
متن کاملPhase Memory in Oscillatory Networks
As it was shown earlier, oscillatory networks consisting of limit-cycle oscillators interacting via complex-valued c onnec-tions can be u s e d for associative memory design. Phase memory as a special type of associative memory in oscillatory networks has been invented and studied. Detailed analysis of phase memory features of phasor networks related to oscilla-tory networks has been performed....
متن کاملDesign of Complex-valued Hopfield Associative Memory Based on Prespecified Attractive Domain
This paper proposes a connection weighting scheme of a complex-valued Hopfield neural network for associative memory constrained by given attractive domain. Both equilibrium conditions and stability analysis results are used in the synthesis procedure. We solve the equilibrium equation by singular value decomposition technique and obtain a general solution of the connection weight matrix with a...
متن کاملLearning Transformations with Complex-Valued Neurocomputing
The ability of the 1-n-1 complex-valued neural network to learn 2D affine transformations has been applied to the estimation of optical flows and the generation of fractal images. The complex-valued neural network has the adaptability and the generalization ability as inherent nature. This is the most different point between the ability of the 1-n-1 complex-valued neural network to learn 2D aff...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011