Compensatory Genetic Fuzzy Neural Networks and Their Applications

نویسندگان

  • Yanqing Zhang
  • Abraham Kandel
چکیده

compensatory genetic fuzzy neural networks and their applications neural networks fuzzy logic and genetic algorithms by rajasekaran and g a v pai ebook free download nonlinear workbook chaos fractals cellular automata neural networks genetic algorithms gene expression programming wavelets fuzzy logic with c java and symbolicc programs applications of neural networks in environment energy and health proceedings of the 1995 workshop on environmental and energy applications of neural networks richland washington u s a 30 31 march 1995 nonlinear workbook chaos fractals cellular automata neural networks genetic algorithms gene expression programming support vector machine wavelets hidden markov models fuzzy logic with c java and symbolic c programs neural networks and fuzzy system by bart kosko neural networks and fuzzy systems by bart kosko pdf free download nonlinear system identification from classical approaches to neural networks and fuzzy models neural networks in financial engineering proceedings of the 3rd international conference on neural networks in the capital markets london england 11 13 october 95 nonlinear workbook chaos fractals cellular automata neural networks genetic algorithms fuz business applications of neural networks neural networks applications in engineering neural networks for pattern recognition and their applications applications of artificial neural networks in chemical engineering applications of artificial neural networks in civil engineering complex valued neural networks theories and applications radial basis function neural networks with sequential learning mran and its applications 1990 ieee international workshop on cellular neural networks and their applications cnna 90 proceedings genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases neural fuzzy systems a neuro fuzzy synergism to intelligent systems fuzzy and uncertain object oriented databases concepts and data models advances in fuzzy systems applications fuzzy sets fuzzy logic applications fuzzy neural approaches in engineering fuzzy neural network theory applicatio neural fuzzy control systems with structure and parameter learning neural networks introduction to pattern recognition statistical structural neural and fuzzy logic approaches neural logic networks methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection principles of artificial neural networks technical analysis neural networks neural networks and spin glasses neural networks computers with intuition neural networks in vision and pattern recognition neural networks haykin solution manual neural networks for intelligent signal processing simon haykin neural networks solution manual neural networks from biology to high energy physics parallel architectures and neural networks 1st italian workshop artificial neural networks in water supply engineering neural networks learning machines …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)

The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...

متن کامل

Prediction of Gain in LD-CELP Using Hybrid Genetic/PSO-Neural Models

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 layers of El...

متن کامل

Prediction of Gain in LD-CELP Using Hybrid Genetic/PSO-Neural Models

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 layers of El...

متن کامل

Gyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods

In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...

متن کامل

Numerical solution of hybrid fuzzy differential equations by fuzzy neural network

The hybrid fuzzy differential equations have a wide range of applications in science and engineering. We consider the problem of nding their numerical solutions by using a novel hybrid method based on fuzzy neural network. Here neural network is considered as a part of large eld called neural computing or soft computing. The proposed algorithm is illustrated by numerical examples and the result...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 30  شماره 

صفحات  -

تاریخ انتشار 1998