2 resultados para Education . Progressions. Functions
em Digital Peer Publishing
Resumo:
Artificial neural networks are based on computational units that resemble basic information processing properties of biological neurons in an abstract and simplified manner. Generally, these formal neurons model an input-output behaviour as it is also often used to characterize biological neurons. The neuron is treated as a black box; spatial extension and temporal dynamics present in biological neurons are most often neglected. Even though artificial neurons are simplified, they can show a variety of input-output relations, depending on the transfer functions they apply. This unit on transfer functions provides an overview of different transfer functions and offers a simulation that visualizes the input-output behaviour of an artificial neuron depending on the specific combination of transfer functions.
Resumo:
On September 21, 1999, a strong earthquake devastated Taiwan's central areas and claimed more than two thousand casualties. Social work roles in the disaster aid were surveyed with standardized questionnaires six months after the earthquake; in addition, interviews of the key informants, documental research, focus groups and open-ended questionnaires were utilized to collect qualitative data. The study found that social workers had significant roles and functions in both rescue and recovery stages especially in linking the victims' needs with resources. Social workers, including from public and private sectors as well as from campuses including the faculties and students of social work departments, have been deeply involved in helping the victims. Regrettably, most Taiwanese social workers participated in the rescue aid with limited training in disaster aid; social work practice in disaster aid is not included in current curriculums of college level. This means that social work roles and functions in the disaster aid process have not been fully realized by Taiwan's society and professional education.