AN IMPROVED GENETIC ALGORITHM BASED FUZZY-TUNED NEURAL NETWORK
نویسندگان
چکیده
منابع مشابه
An improved genetic algorithm based fuzzy-tuned neural network
This paper presents a fuzzy-tuned neural network, which is trained by an improved genetic algorithm (GA). The fuzzy-tuned neural network consists of a neural-fuzzy network and a modified neural network. In the modified neural network, a neuron model with two activation functions is used so that the degree of freedom of the network function can be increased. The neural-fuzzy network governs some...
متن کاملA Genetic Algorithm Based Neural-Tuned Neural Network
Absfracf-This paper presents a neural-tuned neural nehvork, which is trained by genetic algorithm (CA). The neural-tuned neural nehvork consists of a neural network and a modified neural network. I n the modified neural network, a neuron model with hvo activation functions is introduced. Some parameters of these activation functions will be tuned by neural network. The proposed network structur...
متن کاملAn Improved Algorithm for Network Reliability Evaluation
Binary Decision Diagram (BDD) is a data structure proved to be compact in representation and efficient in manipulation of Boolean formulas. Using Binary decision diagram in network reliability analysis has already been investigated by some researchers. In this paper we show how an exact algorithm for network reliability can be improved and implemented efficiently by using CUDD - Colorado Univer...
متن کاملAn Improved Haze Removal Algorithm Based on Genetic Fuzzy Clustering
Aiming at the degeneration phenomenon of images taken in mist, according to the features of the degraded images, an improved haze removal algorithm based on genetic fuzzy clustering is presented in this paper after analyzing its defects and shortcomings. Firstly, the improved atmospheric scattering model is established. Secondly, the original image is converted into a standard image through the...
متن کاملGain estimation for an AC power line data network transmitter using a neural-fuzzy network and an improved genetic algorithm
Abstracb This paper presents the estimation of the transmission gain for an AC power line data network in an intelligent home. The estimated gain ensures the transmission reliability and efficiency. A neural-fuzzy network with rule switches is proposed to perform the estimation. An improved genetic algorithm is proposed to tune the parameters and the rules of the proposed neural-fuzzy network. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Neural Systems
سال: 2005
ISSN: 0129-0657,1793-6462
DOI: 10.1142/s0129065705000438