the design of highly nonlinear functions is relevant for a number of different applications, ranging from database hashing to message authentication. But, apart from useful, it is quite a challenging task. In this wor...
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ISBN:
(纸本)9783540408031
the design of highly nonlinear functions is relevant for a number of different applications, ranging from database hashing to message authentication. But, apart from useful, it is quite a challenging task. In this work, we propose the use of genetic programming for finding functions that optimize a particular nonlinear criteria, the avalanche effect, using only very efficient operations, so that the resulting functions are extremely efficient both in hardware and in software.
In order to generate heterogeneous agents, Hara et al. have previously proposed an improved Genetic programming method, Automatically Defined Groups (ADG). this method can optimize both group structure of agents and a...
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ISBN:
(纸本)3540408045
In order to generate heterogeneous agents, Hara et al. have previously proposed an improved Genetic programming method, Automatically Defined Groups (ADG). this method can optimize both group structure of agents and action rule of each group. In this paper, we propose a new method using ADC for knowledge acquisition from numerical data. this method can perform both clustering of data and rule extraction in each class, divided data set. Clustering of data is performed by the sharing of roles among agents. An agent in this method corresponds to an expert who takes charge of rule extraction in the assigned data. the rules that can explain all classes are obtained by collecting each agent's output. To verify the effectiveness of this method, we applied this method to the function approximation problem.
this paper presents the Multimedia C language, which is appropriate for the multimedia extensions included in all modern microprocessors. the paper discusses the language syntax, the implementation of its compiler and...
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ISBN:
(纸本)3540406735
this paper presents the Multimedia C language, which is appropriate for the multimedia extensions included in all modern microprocessors. the paper discusses the language syntax, the implementation of its compiler and its use in developing multimedia applications. the goal was to provide programmers withthe most natural way of using multimedia processing facilities in the C language.
the proceedings contain 102 papers. the topics discussed include: modeling neuronal firing in the presence of refractoriness;real neurons and neural computation: a summary of thoughts;intermittent burst synchronizatio...
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ISBN:
(纸本)354040211X
the proceedings contain 102 papers. the topics discussed include: modeling neuronal firing in the presence of refractoriness;real neurons and neural computation: a summary of thoughts;intermittent burst synchronization in neural networks;interacting modalities through functional brain modeling;real-time sound source localization and separation based on active audio-visual integration;a rotated kernel probabilistic neural network (RKPNN) for multi-class classification;FPGA implementation of a perceptron-like neural network for embedded applications;reconfigurable hardware architecture for compact and efficient stochastic neuron;validation of a cortical electrode model for neuroprosthetics purposes;XMLP: a feed-forward neural network with two-dimensional layers and partial connectivity;on the effects of dimensionality on data analysis with neural networks;post-synaptic time-dependent conductances in spiking neurons: FPGA implementation of a flexible cell model;and a recurrent neural network for robotic sensory-based search.
the proceedings contain 16 papers. the special focus in this conference is on Philosophical Considerations, Formulations, Distinctions, Systems, Evaluations, and Applications. the topics include: Exploiting knowledge ...
ISBN:
(纸本)3540404295
the proceedings contain 16 papers. the special focus in this conference is on Philosophical Considerations, Formulations, Distinctions, Systems, Evaluations, and Applications. the topics include: Exploiting knowledge about the future to improve current behavior;anticipatory behavioral control;towards a four factor theory of anticipatory learning;internal models and anticipations in adaptive learning systems;mathematical foundations of discrete and functional systems with strong and weak anticipations;anticipation driven artificial personality;a framework for preventive state anticipation;symbols and dynamics in embodied cognition;forward and bidirectional planning based on reinforcement learning and neural networks in a simulated robot;sensory anticipation for autonomous selection of robot landmarks;representing robot-environment interactions by dynamical features of neuro-controllers;exploring the value of prediction in an artificial stock market and generalized state values in an anticipatory learning classifier system.
this paper describes the object oriented (OO) analysis patterns applied in the construction of Carmen, a development environment for graphical probabilistic models (GPMs). Taking inspiration from research carried out ...
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ISBN:
(纸本)3540408045
this paper describes the object oriented (OO) analysis patterns applied in the construction of Carmen, a development environment for graphical probabilistic models (GPMs). Taking inspiration from research carried out in the design pattern specification field, these OO patterns are defined by means of structural and behavioural "meta-level" constraints in the UML meta-model framework.
Different techniques for extracting Artificial Neural Networks (ANN) rules have been used up to the present time, but most of them have focused on certain types of networks and their training. However, there are pract...
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the proceedings contain 95 papers. the special focus in this conference is on Biological Models, functional Models, Learning and Self-Organizing Systems. the topics include: Modeling neuronal firing in the presence of...
ISBN:
(纸本)3540402101
the proceedings contain 95 papers. the special focus in this conference is on Biological Models, functional Models, Learning and Self-Organizing Systems. the topics include: Modeling neuronal firing in the presence of refractoriness;synchronous firing in a population of inhibitory interneurons coupled by electrical and chemical synapses;stochastic networks with subthreshold oscillations and spiking activity;selective inactivation of neuronal dendritic domains;intermittent burst synchronization in neural networks;diffusive hybrid neuromodulation and volume learning;sleep and wakefulness in the cuneate nucleus;effects of different connectivity patterns in a model of cortical circuits;consolidation of novel events into dynamic memory representations;real-time sound source localization and separation based on active audio-visual integration;a functional spiking neuron hardware oriented model;independent residual analysis for temporally correlated signals;a learning rule to model the development of orientation selectivity in visual cortex;improved kernel learning using smoothing parameter based linear kernel;a wrapper approach with support vector machines for text categorization;robust expectation maximization learning algorithm for mixture of experts;evolutionary approach to overcome initialization parameters in classification problems;a new learning method for single layer neural networks based on a regularized cost function;a better selection of patterns in lazy learning radial basis neural networks;a recurrent multivalued neural network for codebook generation in vector quantization;estimation of multidimensional regression model with multilayer perceptrons and a statistical model of pollution-caused pulmonary crises.
this work presents the application of Constraint programming to the problem of selecting and sequencing assembly operations. the set of all feasible assembly plans for a single product is represented using an And/Or g...
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ISBN:
(纸本)3540408045
this work presents the application of Constraint programming to the problem of selecting and sequencing assembly operations. the set of all feasible assembly plans for a single product is represented using an And/Or graph. this representation embodies some of the constraints involved in the planning problem, such as precedence of tasks, and the constraints due to the completion of a correct assembly plan. the work is focused on the selection of tasks and their optimal ordering, taking into account their execution in a generic multi-robot system. In order to include all different constraints of the problem, the And/Or graph representation is extended, so that links between nodes corresponding to assembly tasks are added, taking into account the resource constraints. the resultant problem is mapped to a Constraint Satisfaction Problem (CSP), and is solved using Constraint programming, a powerful programming paradigm that is increasingly used to model and solve many hard real-life problems.
Although there has been considerable study in the area of trading- off accuracy and comprehensibility of decision tree models, the bulk of the methods dwell on sacrificing comprehensibility for the sake of accuracy, o...
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ISBN:
(纸本)9783540408031
Although there has been considerable study in the area of trading- off accuracy and comprehensibility of decision tree models, the bulk of the methods dwell on sacrificing comprehensibility for the sake of accuracy, or fine-tuning the balance between comprehensibility and accuracy. Invariably, the level of trade-off is decided a priori. It is possible for such decisions to be made a posteriori which means the induction process does not discriminate against any of the objectives. In this paper, we present such a method that uses multi-objective Genetic programming to optimize decision tree models. We have used this method to build decision tree models from Diabetes data in a bid to investigate its capability to trade-off comprehensibility and performance.
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