distributedprocessing in a network of computational cells which realise simple Boolean functions is used as a model for biological processing in neural cell assemblies. Recent work in establishing the criteria for de...
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distributedprocessing in a network of computational cells which realise simple Boolean functions is used as a model for biological processing in neural cell assemblies. Recent work in establishing the criteria for determining stable behavior is briefly summarized and the implications in characterizing an adaptivity mechanism for such a network are discussed. Empirical results are presented to indicate the deficiencies of typical adaptation algorithms in ensuring stability, and the paper finally points the discussion toward a theory of adaptation which emphasizes topological features of a network rather than individual cellular functions.
distributedprocessing in a network of computational cells which realise simple Boolean functions is used as a model for biological processing in neural cell assemblies. Recent work in establishing the criteria for de...
详细信息
distributedprocessing in a network of computational cells which realise simple Boolean functions is used as a model for biological processing in neural cell assemblies. Recent work in establishing the criteria for determining stable behavior is briefly summarized and the implications in characterizing an adaptivity mechanism for such a network are discussed. Empirical results are presented to indicate the deficiencies of typical adaptation algorithms in ensuring stability, and the paper finally points the discussion toward a theory of adaptation which emphasizes topological features of a network rather than individual cellular functions.
Primate vision with its system of interacting subsystems is a prime example of a distributedprocessingneuralnetwork. The available neurophysiological evidence indicates that the functional subsystem concerned with ...
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Primate vision with its system of interacting subsystems is a prime example of a distributedprocessingneuralnetwork. The available neurophysiological evidence indicates that the functional subsystem concerned with optimal pattern vision sequentially filters the neural image corresponding to retinal input and the filter functions can be described using linear systems analysis.
Primate vision with its system of interacting subsystems is a prime example of a distributedprocessingneuralnetwork. The available neurophysiological evidence indicates that the functional subsystem concerned with ...
详细信息
Primate vision with its system of interacting subsystems is a prime example of a distributedprocessingneuralnetwork. The available neurophysiological evidence indicates that the functional subsystem concerned with optimal pattern vision sequentially filters the neural image corresponding to retinal input and the filter functions can be described using linear systems analysis.
The book presents high quality research papers presented at International conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12–13 December, 20...
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ISBN:
(数字)9789811638022
ISBN:
(纸本)9789811638015;9789811638046
The book presents high quality research papers presented at International conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12–13 December, 2020. The topics covered are artificial intelligence, neuralnetwork, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing,supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
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