Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Takahumi Oohori"'
Publikováno v:
Neural Computation. 19:1422-1435
We propose a digital version of the backpropagation algorithm (DBP) for three-layered neural networks with nondifferentiable binary units. This approach feeds teacher signals to both the middle and output layers, whereas with a simple perceptron, the
Publikováno v:
Systems and Computers in Japan. 32:14-23
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 117:569-575
Publikováno v:
Systems and Computers in Japan. 27:74-85
This paper intends to solve problems in the BP learning in the conventional multilayered perceptron, and proposes two methods, the local generalization and the global generalization, improve the generalization ability of the perceptron with the local
Publikováno v:
Systems and Computers in Japan. 27:37-45
This paper proposes the parallel correlation learning, which is a method different from the conventional back-propagation method. The proposed learning method is applicable to the feedforward-type network in which the output of each unit is different
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 116:699-705
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 116:296-301
Publikováno v:
SMC
In recent years, so-called serious games, where some kind of knowledge is gained through digital game play, have received significant attention and there has been an active movement toward games that effectively enrich the learning environment. Serio
Publikováno v:
Electrical Engineering in Japan. 115:76-84
Hopfield has shown that the combinatorial optimization problem can be solved on an artificial neural network system by minimizing the quadratic energy function. One of the difficulties in applying the network to actual problems is that the network co
Publikováno v:
Systems and Computers in Japan. 25:67-77
The distributed representation-type three-layered perceptron with backpropagation has such problems as the local minimum, long learning time, and ambiguity in internal representation. As a method to cope with those problems, this paper proposes the f