The essence of finite impulse response (FIR) digital filter design is the problem of the parameter optimization. Namely the optimal parameters of FIR digital filter are the core of the design. In due to the traditional design method of FIR digital filter is not only accuracy not high but also sideband frequency is difficult to determine. Improve Weight Particle Swarm Optimization (IWPSO) to des...

In this paper, a robust multimodal speech recognition system is proposed in order to improve the performance of automatic speech recognition (ASR). A visual feature extraction technique for real-world data is developed and implemented. Multi-stream hidden Markov models (HMMs) including weighting factors are used to combine audio and visual information, applying the stream-weight optimization sc...

An optimization procedure is presented for the minimum weight and strain energy optimization for arch structures subjected to constraints on stress, displacement and weight responses. Both thickness and shape variables defining the natural line of the arch are considered. The computer program which is developed in this study can be used to optimize thick, thin and variable thickness curved beam...

A fuzzy logic based similarity measure is introduced as a criterion for the identification of structure in data. An important characteristic of the proposed approach is that cluster prototypes are formed and evaluated in the course of the optimization without any a-priori assumptions about the number of clusters. The intuitively straightforward compound optimization criterion of maximizing the ...

Particle swarm optimization (PSO) is an artificial intelligence (AI) technique that can be used to find approximate solutions to extremely difficult or impossible numeric maximization and minimization problems. Particle swarm optimization is an optimization method. It is an optimization algorithm, which is based on swarm intelligence. Optimization problems are widely used in different fields of...

An adaptive genetic-simplex algorithm for parameter optimization in nuclear power plant is proposed by using adaptive crossover and mutation techniques and integrating genetic algorithm with simplex algorithm. The modified algorithm enables the handing of nonlinear constrained optimization problem because of dramatically improved search capability. Performance comparison between the proposed al...

Optimum laminate configuration for minimum weight of filament–wound laminated conical shells subject to buckling load constraint is investigated. In the case of a laminated conical shell the thickness and the ply orientation (the design variables) are functions of the shell coordinates, influencing both the buckling load and its weight. These effects complicate the optimization problem consider...

Among various efforts pursued to produce fuel efficient vehicles, light weight engineering (i.e. the use of low-density structurally-efficient materials, the application of advanced manufacturing and joining technologies and the design of highly-integrated, multi-functional components/sub-assemblies) plays a prominent role. In the present work, a multi-disciplinary design optimization methodolo...

The minimum weight vertex cover problem is an interesting and applicable NP-hard problem that has been investigated from many different aspects. The ant colony optimization metaheuristic is a relatively new technique that was successfully adjusted and applied to many hard combinatorial optimization problems, including the minimum weight vertex cover problem. Some kind of hybridization or exploi...

the objective of this paper is to develop an artificial neural network (ann) model which can beused to predict temperature rise due to climate change in regional scale. in the present work data recorded overyears 1985-2008 have been used at training and testing steps for ann model. the multilayer perceptron(mlp) network architecture is used for this purpose. three applied optimization methods a...