A new training algorithm for feedforward neural networks
نویسندگان
چکیده
منابع مشابه
Fast training of recurrent networks based on the EM algorithm
In this work, a probabilistic model is established for recurrent networks. The expectation-maximization (EM) algorithm is then applied to derive a new fast training algorithm for recurrent networks through mean-field approximation. This new algorithm converts training a complicated recurrent network into training an array of individual feedforward neurons. These neurons are then trained via a l...
متن کاملNumerical solution of fuzzy linear Fredholm integro-differential equation by \fuzzy neural network
In this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and Newton-Cotesmethods with positive coefficient for the solution of linear Fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. Here neural network isconsidered as a part of large field called neural computing orsoft computing. We propose alearning algorithm from ...
متن کاملHIOPGA: A New Hybrid Metaheuristic Algorithm to Train Feedforward Neural Networks for Prediction
Most of neural network training algorithms make use of gradient-based search and because of their disadvantages, researchers always interested in using alternative methods. In this paper to train feedforward, neural network for prediction problems a new Hybrid Improved Opposition-based Particle swarm optimization and Genetic Algorithm (HIOPGA) is proposed. The opposition-based PSO is utilized t...
متن کاملMulti-View Face Detection in Open Environments using Gabor Features and Neural Networks
Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...
متن کاملA Modular Neural Network Architecture with Additional Generalization Abilities for High Dimensional Input Vectors
iii Abstract In this project a new modular neural network is proposed The basic building blocks of the architecture are small multilayer feedforward networks trained using the Backpropagation algorithm The structure of the modular system is similar to architectures known from logical neural networks The new network is not fully connected and therefore the number of weight connections is much le...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1995