A supervised learning algorithm for feedforward networks with inhibitory lateral connections
Artificial neural network models, particularly the perceptron and the backpropagation network, do not perform lateral inhibition, a function commonly performed by biological neural networks. This paper presents a supervised learning algorithm for feedforward networks with inhibitory lateral connecti...
محفوظ في:
المؤلف الرئيسي: | Alvarez, Maria P. |
---|---|
التنسيق: | text |
منشور في: |
Animo Repository
1997
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://animorepository.dlsu.edu.ph/faculty_research/12111 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | De La Salle University |
مواد مشابهة
-
A learning algorithm for feedforward networks with inhibitory lateral connections
بواسطة: Alvarez, Maria P.
منشور في: (1995) -
Training issues and learning algorithms for feedforward and recurrent neural networks
بواسطة: TEOH EU JIN
منشور في: (2010) -
Feedforward control based on neural networks for hard disk drives
بواسطة: Ren, X., وآخرون
منشور في: (2014) -
Principles of convergent rate and generalization enhancement for feedforward sigmoid-like network
بواسطة: Khamron Sunat
منشور في: (2009) -
Principles of convergent rate and generalization enhancement for feedforward sigmoid-like network
بواسطة: Khamron Sunat
منشور في: (2003)