Hoppeld networks are commonly trained by one of two algorithms. The simplest of these is the Hebb rule, which has a low absolute capacity of n=(2 ln n), where n is the total number of neurons. This capacity can be increased to n by using the pseudo-inverse rule. However, capacity is not the only consideration. It is important for rules to be local (the weight of a synapse depends ony on informa...

In this paper, we propose a learning rule based on a back-propagation (BP) algorithm that can be applied to a hardware-based deep neural network (HW-DNN) using electronic devices that exhibit discrete and limited conductance characteristics. This adaptive learning rule, which enables forward, backward propagation, as well as weight updates in hardware, is helpful during the implementation of po...

OO jDREW extensions are discussed for top-down and bottom-up rule execution, a Findall solutions predicate for the top-down engine, dual rule syntax, light-weight rule-ontology combination, and importing knowledge bases from Web sources. A design is presented for introducing uncertainty management to knowledge representation with rules, and exemplified with a Currency Exchange example. Figure 1...

Attractor neural networks such as the Hop eld network can be trained by a number of algorithms. The simplest of these methods is the Hebb rule which is strictly local (the weight of the synapse depends only on the activation of the two neurons it connects) and incremental (adding a new memory can be done knowing only the old weight matrix and not the actual patterns previously stored). Both of ...

Aiming at the low accuracy of index weight calculation and risk type identification in traditional cost management systems, this paper proposes a project system based on an improved fuzzy rule algorithm. We analyzed types risks, adopted three-tier technical architecture to design frame structure functional organization system, B/S for network deployment. In software part, algorithm is used calc...

as a result of rule of law ideal, judges are required to act in accordance with laws. the ideal is justified by some political values: political liberty, legal liberty , personal liberty and equality. citizens are subject only to the law not to the arbitrary will or judgment of another who wields coercive government power. but in some cases law is indeterminate. in these cases there is an impor...

A fuzzy rule-based classification system (FRBCS) is one of the most popular approaches used in pattern classification problems. One advantage of a fuzzy rule-based system is its interpretability. However, we're faced with some challenges when generating the rule-base. In high dimensional problems, we can not generate every possible rule with respect to all antecedent combinations. In this paper...

We consider a game of two agents competing to add items into a solution set. Each agent owns a set of weighted items and seeks to maximize the sum of their weights in the solution set. In each round each agent submits one item for inclusion in the solution. We study two natural rules to decide the winner of each round: Rule 1 picks among the two submitted items the item with larger weight, Rule...

The main goal of association rule mining is to examine large transaction databases which reveal implicit relationship among the data attributes. Classical association rule mining model assumes that all items have same significance without assigning their weight within a transaction or record. This proposed method gives importance for the items and transactions while calculating weight on variou...

This paper presents a new approach for automatic document categorization. Exploiting the logical structure of the document, our approach assigns a HTML document to one or more categories (thesis, paper, call for papers, email, ...). Using a set of training documents, our approach generates a set of rules used to categorize new documents. The approach flexibility is carried out with rule weight ...