Abstract: In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden la...

This chapter maps out the development of the PSO based Functional Link Interval Type-2 Fuzzy Neural System (FLIT2FNS) model used to forecast the stock market indices. In the process, it discusses the architecture of Functional Link Artificial Neural Network (FLANN), FLANN & Type-1Fuzzy Logic System (Type1FLS) and the differences between Type-1FLS and Interval Type-2 Fuzzy Logic System (IT2FLS)....

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) ...

The nonlinear characteristics and intense credence dependence of photovoltaic (PV) panel on the solar irradiance ambient temperature demonstrate important challenges for researchers in PV topic. To overcome these problems, maximum power point tracking (MPPT) controller is needed which can improve efficiency. In other words, efficiency, MPPT help to extract optimal overall available output from ...

This paper addresses some of the potential benefits of using f u z z y logic controllers to control an i n v e r t e d pendulum system. The stages of the development of a fuzzy logic controller using a four input T a k a g i -Sugeno fuzzy model were presented. The main idea of this paper is to implement and optimize fuzzy logic control algorithms in order t o balance the inverted pendulum and a...

use a novel approach, i.e. neutrosophic logic which is a generalization of fuzzy logic and especially of intuitionistic fuzzy logic, to image segmentation-following one of the authors (H. D. Cheng) together with his co-author Y. Guo previous published paper on neutrosophic approach to image thresholding. The authors improved the watershed algorithms using a neutrosophic approach (i.e. they cons...

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...